# Operating Systems Labs and Projects

> Search results for `learn operating systems concepts with labs and projects` on awesome-repositories.com. 117 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/learn-operating-systems-concepts-with-labs-and-projects

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/learn-operating-systems-concepts-with-labs-and-projects).**

## Results

- [acantril/learn-cantrill-io-labs](https://awesome-repositories.com/repository/acantril-learn-cantrill-io-labs.md) (6,130 ⭐) — This repository is a collection of hands-on AWS learning labs that pair visual architecture diagrams with real infrastructure deployment. Each lab is built around a complete architecture diagram, and the learner follows step-by-step instructions to implement that exact design using pre-authored AWS CloudFormation templates. The core approach is to teach cloud concepts by having the learner build the infrastructure they see in the diagram, reinforcing understanding through direct, practical construction.

The labs are designed as complete, multi-service integration demos that combine compute, s
- [nuta/operating-system-in-1000-lines](https://awesome-repositories.com/repository/nuta-operating-system-in-1000-lines.md) (3,258 ⭐) — This project is an educational operating system kernel designed to demonstrate the fundamental architectural principles of memory paging and process management. It is implemented as a minimal kernel that serves as a practical reference for building a functioning system from the ground up.

The implementation features a preemptive multitasking kernel that switches execution contexts between threads to share a single CPU. It includes an x86 virtual memory manager that uses paging to map virtual addresses to physical memory and isolate processes.

The system covers low-level hardware interfacing
- [ashishpatel26/500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code](https://awesome-repositories.com/repository/ashishpatel26-500-ai-machine-learning-deep-learning-computer-vision-nlp-projects.md) (34,579 ⭐) — This repository serves as a comprehensive, curated collection of open-source implementations focused on artificial intelligence, machine learning, and computer vision. It functions as a centralized knowledge base and technical resource index, providing students and professional engineers with a structured directory of code examples for educational and practical reference.

The project distinguishes itself through a community-driven curation model, relying on manual updates and contributions to maintain a relevant and expansive archive. By organizing these resources into categorized lists, the
- [home-assistant/operating-system](https://awesome-repositories.com/repository/home-assistant-operating-system.md) (7,222 ⭐) — This project is a Buildroot-based Linux distribution and embedded home server operating system designed to host containerized home automation services. It serves as a dedicated platform that manages the hardware and software requirements of a local smart home hub.

The system is built as an immutable operating system, utilizing a read-only root filesystem and image-based updates to ensure consistent versioning and prevent accidental changes. It employs container-based process isolation to decouple applications from the core operating system.

The platform provides a supervised container manage
- [ardanlabs/gotraining](https://awesome-repositories.com/repository/ardanlabs-gotraining.md) (12,212 ⭐) — This repository provides curated learning paths, structured courseware, and technical materials for mastering Go programming, container orchestration, and software architecture. It serves as a comprehensive educational resource for systems programming, focusing on language mechanics, memory safety, and high-performance backend design.

The project distinguishes itself through a multi-modal instructional design that combines instructor-led workshops, project-based curricula, and competency-based certifications. It offers specialized guidance on building production-grade AI infrastructure, inclu
- [bregman-arie/devops-exercises](https://awesome-repositories.com/repository/bregman-arie-devops-exercises.md) (82,879 ⭐) — This project is a comprehensive educational curriculum designed to build proficiency across modern infrastructure, cloud-native technologies, and systems administration. It functions as a reference library and interview preparation resource, offering a structured collection of conceptual questions, practical coding challenges, and hands-on scenarios that cover the full spectrum of software delivery and operational workflows.

The repository distinguishes itself through a modular, domain-specific structure that links instructional problem statements with verified implementation examples. By emp
- [0xmetaschool/learning-projects](https://awesome-repositories.com/repository/0xmetaschool-learning-projects.md) (1,006 ⭐) — Learn, Build & Ship amazing Web3 Projects 🚀🚀
- [eczarny/spectacle](https://awesome-repositories.com/repository/eczarny-spectacle.md) (13,631 ⭐) — Spectacle is a keyboard-driven window manager and organizer that uses system accessibility frameworks to manipulate window coordinates and dimensions. It allows for the arrangement, resizing, and movement of application windows across multiple displays using global keyboard shortcuts.

The tool focuses on multi-monitor layout management, enabling users to shift active windows between connected displays and snap windows into predefined screen regions such as halves, thirds, or corners. It also provides the ability to center and maximize windows to optimize screen real estate without using a mou
- [gurugio/lowlevelprogramming-university](https://awesome-repositories.com/repository/gurugio-lowlevelprogramming-university.md) (12,555 ⭐) — This project is a comprehensive educational framework designed to guide learners through the complexities of systems engineering and low-level software development. It provides structured learning paths that integrate hardware simulation, source code analysis, and project-based exercises to help developers master the foundational concepts of computer architecture, operating systems, and firmware design.

The curriculum distinguishes itself by emphasizing direct interaction with system internals, requiring learners to examine and modify existing open-source kernel and driver implementations. By
- [max-hailperin/operating-systems-and-middleware--supporting-controlled-interaction](https://awesome-repositories.com/repository/max-hailperin-operating-systems-and-middleware-supporting-controlled-interaction.md) (125 ⭐) — This directory contains the LaTeX source files for the textbook Operating Systems and Middleware: Supporting Controlled Interaction Revised Edition 1.2.1, Copyright 2011-2016 by Max Hailperin.
- [forthespada/interviewguide](https://awesome-repositories.com/repository/forthespada-interviewguide.md) (5,816 ⭐) — InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software engineering recruitment, from foundational computer science concepts through to offer negotiation. It provides structured learning paths across algorithms, operating systems, databases, networking, and programming languages, with a particular emphasis on C++ and Go. The platform aggregates real interview experiences and company-specific questions from major tech employers, offering candidates a searchable database of past written exam problems and detailed accounts of actual int
- [geldata/gel](https://awesome-repositories.com/repository/geldata-gel.md) (14,065 ⭐) — Gel is an object-relational database system that models data as a graph of interconnected objects. By utilizing a strongly typed schema, it enables complex relational queries and polymorphic data structures without the need for traditional join tables. The system integrates native vector storage and similarity search operators, allowing it to function as both a relational and a vector database for semantic data retrieval.

The platform distinguishes itself through a comprehensive suite of developer-centric automation tools. It features a declarative migration system that tracks and versions sc
- [rhiever/data-analysis-and-machine-learning-projects](https://awesome-repositories.com/repository/rhiever-data-analysis-and-machine-learning-projects.md) (6,699 ⭐) — This is a collection of machine learning projects, data visualization portfolios, and predictive analytics tools. The repository provides implementation examples for training predictive models, executing data analysis pipelines, and estimating metadata values through historical statistical tables.

The project emphasizes evolutionary computing, utilizing genetic algorithms and programming to solve optimization problems. This includes calculating the shortest distance between geographic coordinates and automating the selection of models and hyperparameters within machine learning pipelines.

Ad
- [grafana/grafana](https://awesome-repositories.com/repository/grafana-grafana.md) (74,456 ⭐) — Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking and performance monitoring.

The platform distinguishes itself through a plugin-based modular architecture that integrates disparate databases, cloud services, and monitoring tools via a standardized data abstraction layer. This framework allows for the dynamic loading of external
- [charlax/professional-programming](https://awesome-repositories.com/repository/charlax-professional-programming.md) (51,116 ⭐) — This project is a curated knowledge repository designed to support the professional development of software engineers. It functions as a comprehensive index of industry best practices, methodologies, and design principles, providing a structured roadmap for those seeking to improve their technical skills, architectural decision-making, and career trajectory.

The repository distinguishes itself through a community-driven approach, relying on peer-reviewed contributions to maintain an up-to-date collection of resources. It organizes vast amounts of technical information into a hierarchical taxo
- [secure-and-intelligent-systems-lab/wpmixer](https://awesome-repositories.com/repository/secure-and-intelligent-systems-lab-wpmixer.md) (85 ⭐) — WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
- [aobingjava/javafamily](https://awesome-repositories.com/repository/aobingjava-javafamily.md) (36,959 ⭐) — JavaFamily is a curated set of learning paths and reference guides for backend engineering, distributed systems, and virtual machine internals. It provides a structured curriculum covering the Java language, operating system concepts, and network protocols.

The project features detailed study guides for the Java virtual machine architecture, including memory management and garbage collection. It also includes a comprehensive reference for distributed systems, covering microservices, remote procedure call frameworks, and scalable system design.

The collection covers a broad range of technical
- [docling-project/docling](https://awesome-repositories.com/repository/docling-project-docling.md) (61,674 ⭐) — Docling is a modular framework designed for document parsing, layout analysis, and structured data extraction. It transforms unstructured files and web content into a unified, hierarchical data model that preserves the spatial and semantic relationships between text, tables, images, and layout elements. By normalizing diverse input formats into a consistent internal representation, the library enables uniform processing across various document types.

The project distinguishes itself through a schema-driven approach that maps document regions to strongly-typed objects, ensuring data accuracy t
- [daytonaio/daytona](https://awesome-repositories.com/repository/daytonaio-daytona.md) (72,416 ⭐) — Daytona is a cloud-native development environment platform designed to orchestrate ephemeral, containerized workspaces. It provides a centralized system for managing reproducible coding environments as code, ensuring consistency across distributed teams by abstracting the underlying infrastructure. By utilizing declarative configuration, the platform automates the entire lifecycle of development sandboxes, from initial provisioning to resource governance.

The platform distinguishes itself through its infrastructure-agnostic runner layer, which allows development environments to be deployed ac
- [dibingfa/flash-linux0.11-talk](https://awesome-repositories.com/repository/dibingfa-flash-linux0-11-talk.md) (22,433 ⭐) — 你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
- [trimstray/test-your-sysadmin-skills](https://awesome-repositories.com/repository/trimstray-test-your-sysadmin-skills.md) (11,667 ⭐) — This project is a Linux system administration question bank designed to evaluate knowledge of server management. It serves as a technical reference and study guide through a collection of curated questions and answers.

The resource provides targeted preparation for technical interviews and professional exams. It specifically covers DevOps interview preparation, including containerization, continuous integration, and version control.

The knowledge base spans several core competency areas, including system internals, kernel architectures, and the Linux boot process. It also includes materials
- [operator-framework/operator-sdk](https://awesome-repositories.com/repository/operator-framework-operator-sdk.md) (7,658 ⭐) — The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes API. It serves as a toolset for defining new API types and implementing reconcile loops to automate the lifecycles of complex applications.

The project provides specialized support for creating operators based on Helm charts or Ansible playbooks, allowing users to maintain a desired cluster state using existing automation tools. It includes a dedicated system for packaging controllers into standardized container image bundles for distribution via the Operator Lifecycle Manager.
- [jeffreyksmithjr/reactive-machine-learning-systems](https://awesome-repositories.com/repository/jeffreyksmithjr-reactive-machine-learning-systems.md) (145 ⭐) — Code from the book Machine Learning Systems.
- [remzi-arpacidusseau/ostep-homework](https://awesome-repositories.com/repository/remzi-arpacidusseau-ostep-homework.md) (2,881 ⭐) — This project is a collection of operating systems courseware and educational programming exercises designed for studying operating system design and implementation. It provides a set of concept simulators for modeling CPU scheduling, memory virtualization, and concurrency mechanisms.

The project includes specialized tools such as a concurrency simulation lab for experimenting with synchronization, a file system modeling suite for studying disk persistence and RAID configurations, and a process tree visualizer for displaying parent-child relationship hierarchies.

The software covers broader c
- [cockroachdb/cockroach](https://awesome-repositories.com/repository/cockroachdb-cockroach.md) (32,207 ⭐) — Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict ACID compliance and global data consistency. It functions as a relational database engine that automatically partitions data into ranges, rebalancing them across a cluster to accommodate growing storage and throughput requirements. By utilizing a distributed consensus protocol, the system ensures that all nodes agree on the order of operations, providing fault tolerance and continuous availability even in the event of hardware failures.

The system distinguishes itself through
- [remzi-arpacidusseau/ostep-code](https://awesome-repositories.com/repository/remzi-arpacidusseau-ostep-code.md) (4,127 ⭐) — This project is a collection of educational simulations and code examples designed to illustrate core operating system concepts. It provides practical implementations of virtualization, concurrency, and persistence to demonstrate how an operating system manages hardware and software resources.

The repository includes simulators for CPU scheduling, memory virtualization via paging and segmentation, and file system architectures. It provides specific models for virtual-to-physical address translation and the distribution of processor time across competing tasks.

The simulations cover concurren
- [dbt-labs/dbt-project-evaluator](https://awesome-repositories.com/repository/dbt-labs-dbt-project-evaluator.md) (563 ⭐) — This package highlights areas of a dbt project that are misaligned with dbt Labs' best practices. Specifically, this package tests for:
- [567-labs/instructor](https://awesome-repositories.com/repository/567-labs-instructor.md) (13,176 ⭐) — Instructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures.

The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc
- [cfenollosa/os-tutorial](https://awesome-repositories.com/repository/cfenollosa-os-tutorial.md) (30,551 ⭐) — This project is an educational curriculum designed to teach the fundamentals of operating system development and low-level systems programming. It provides a structured sequence of lessons and code samples that guide users through building a functional kernel and bootloader from scratch, enabling a practical understanding of how software interacts directly with computer hardware.

The repository distinguishes itself by focusing on the core mechanics of bare-metal execution. It covers the implementation of essential system components, including assembly-based bootloaders that transition process
- [enggen/deepmind-advanced-deep-learning-and-reinforcement-learning](https://awesome-repositories.com/repository/enggen-deepmind-advanced-deep-learning-and-reinforcement-learning.md) (862 ⭐) — Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
- [dotnet/efcore](https://awesome-repositories.com/repository/dotnet-efcore.md) (14,587 ⭐) — Entity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context.

The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a
- [klange/toaruos](https://awesome-repositories.com/repository/klange-toaruos.md) (6,783 ⭐) — ToaruOS is an independent operating system built from the ground up without external dependencies. It features a custom x86-64 kernel that supports symmetric multiprocessing and paging, paired with a graphical windowing system and a dedicated bytecode interpreter for application logic.

The system distinguishes itself by integrating an embedded Python environment for system-level development and a custom graphical interface that handles its own window composition and text rendering. It includes a compatibility layer for third-party application support and a system package manager for handling
- [astral-sh/uv](https://awesome-repositories.com/repository/astral-sh-uv.md) (86,451 ⭐) — uv is a high-performance Python package manager and project build tool designed to handle dependency resolution, virtual environment orchestration, and Python interpreter management. It functions as a comprehensive workspace orchestrator, enabling developers to manage complex, multi-package repositories and ensure reproducible builds across different platforms.

The tool distinguishes itself through its use of a global, content-addressable cache and hard-link-based environment provisioning, which allow for near-instant environment creation and minimal disk usage. It employs a high-performance
- [rust-embedded/rust-raspi3-os-tutorials](https://awesome-repositories.com/repository/rust-embedded-rust-raspi3-os-tutorials.md) (14,682 ⭐) — This project is a tutorial and framework for building a low-level, bare-metal operating system from scratch using the Rust language. It focuses on ARMv8 kernel development specifically for the Raspberry Pi 3, providing the resources necessary to implement a monolithic kernel that runs directly on hardware without an underlying operating system.

The project distinguishes itself by providing a complete embedded cross-compilation suite within a containerized environment to ensure consistent builds. It includes a dedicated kernel deployer that uses a serial interface and chainloader to load and b
- [samypesse/how-to-make-a-computer-operating-system](https://awesome-repositories.com/repository/samypesse-how-to-make-a-computer-operating-system.md) (0 ⭐) — How to Make a Computer Operating System
- [crossplane/crossplane](https://awesome-repositories.com/repository/crossplane-crossplane.md) (11,791 ⭐) — Crossplane is a Kubernetes-based control plane framework that functions as a cloud resource orchestrator and infrastructure-as-code platform. It enables the management of heterogeneous infrastructure by extending the Kubernetes API to provision and maintain external cloud services through declarative configuration. By utilizing custom resource controllers, it continuously reconciles the state of external infrastructure with defined desired states, ensuring consistent deployment and lifecycle management across multiple cloud providers.

The platform distinguishes itself through its composition-
- [xtremilicious/projectlearn-project-based-learning](https://awesome-repositories.com/repository/xtremilicious-projectlearn-project-based-learning.md) (6,039 ⭐) — A curated list of project tutorials for project-based learning.
- [freebsd/freebsd-src](https://awesome-repositories.com/repository/freebsd-freebsd-src.md) (9,162 ⭐) — This repository contains the complete source code for a Unix-like operating system, including the monolithic kernel and base system utilities. It provides a BSD-derived system core and a full build toolchain required to compile a functional operating system for servers, desktops, or embedded devices.

The system features a Linux binary compatibility layer that enables the execution and emulation of Linux binaries on a non-Linux platform. It also includes a modular kernel configuration process to tailor hardware support and system features during compilation.

The project covers broad system ca
- [prometheus-operator/prometheus-operator](https://awesome-repositories.com/repository/prometheus-operator-prometheus-operator.md) (9,941 ⭐) — The Prometheus Operator is a Kubernetes monitoring orchestrator and controller that manages Prometheus clusters and observability components through declarative custom resources. It functions as a custom resource controller that translates high-level Kubernetes resource definitions into the configuration files required by the underlying monitoring software.

The project automates the deployment, scaling, and lifecycle of an observability stack, including the integration of components like Thanos and Alertmanager. It distinguishes itself by syncing monitoring targets, alerting rules, and scrape
- [pervognsen/bitwise](https://awesome-repositories.com/repository/pervognsen-bitwise.md) (5,250 ⭐) — Bitwise is a computer architecture education kit and a comprehensive set of guides for building a custom CPU, operating system, and compiler from scratch. It serves as a CPU design tutorial and a practical framework for implementing a unique instruction set architecture.

The project provides a custom instruction set architecture toolchain, including resources for creating a matching assembler and compiler. It further includes a hardware development guide for synthesizing computer components and peripheral controllers for deployment on programmable logic devices and FPGAs.

The kit covers full
- [donnemartin/system-design-primer](https://awesome-repositories.com/repository/donnemartin-system-design-primer.md) (353,387 ⭐) — This project is a comprehensive educational resource and study guide focused on distributed systems architecture and backend infrastructure design. It provides a structured curriculum for mastering the principles of scalability, reliability, and performance required to design complex software systems.

The repository distinguishes itself by offering a methodical approach to technical interview preparation, incorporating design patterns, architectural trade-offs, and spaced repetition tools to help users retain complex concepts. It emphasizes constraint-driven analysis, teaching users how to ev
- [aws/karpenter-provider-aws](https://awesome-repositories.com/repository/aws-karpenter-provider-aws.md) (7,661 ⭐) — karpenter-provider-aws is a Kubernetes node autoscaler and infrastructure provider for AWS. It serves as a node lifecycle manager and cluster cost optimizer that automatically provisions and removes compute instances based on the resource requirements of pending pods.

The project distinguishes itself through advanced AWS spot instance orchestration and price-capacity optimized selection to reduce cloud spend. It minimizes costs by consolidating underutilized nodes and prioritizing spot or reserved instances over on-demand capacity, while proactively migrating workloads before cloud provider i
- [redox-os/redox](https://awesome-repositories.com/repository/redox-os-redox.md) (16,054 ⭐) — Redox is a POSIX-compliant, microkernel-based operating system written entirely in Rust. By utilizing a memory-safe language for the kernel and all system components, the project eliminates common vulnerabilities such as buffer overflows and use-after-free errors. Its architecture relies on a minimal kernel that manages only essential hardware and process isolation, delegating all other system services to unprivileged user-space processes.

The system distinguishes itself through a modular design where hardware drivers and system services run as independent user-space daemons, allowing them to
- [relaxed-system-lab/ultrallada](https://awesome-repositories.com/repository/relaxed-system-lab-ultrallada.md) (16 ⭐) — We introduce UltraLLaDA , a scaled variant of LLaDA-8B-Base that extends the context length up to 128K tokens with light-weight post-training, enabling long-context comprehension and generation.
- [dbt-labs/dbt-core](https://awesome-repositories.com/repository/dbt-labs-dbt-core.md) (13,051 ⭐) — dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history.

The project distinguishes itself through an adapter-based d
- [dragen1860/deep-learning-with-tensorflow-book](https://awesome-repositories.com/repository/dragen1860-deep-learning-with-tensorflow-book.md) (13,237 ⭐) — This project is an open source deep learning textbook and educational resource. It provides a structured curriculum of theory and practical examples designed for mastering the training of regression, classification, and generative models using the TensorFlow framework.

The repository functions as a machine learning code collection, utilizing interactive notebooks and source code to demonstrate neural network implementation and tensor operations. It covers the development of deep learning models and the study of reinforcement learning.

The material employs a case-study driven pedagogy, combin
- [serenityos/serenity](https://awesome-repositories.com/repository/serenityos-serenity.md) (33,477 ⭐) — SerenityOS is a complete, self-hosted desktop operating system built from the kernel up. It features a monolithic kernel architecture that manages system services, hardware drivers, and networking within a single address space. The system provides a full computing environment, including a proprietary windowing system and a suite of native desktop applications, all while maintaining a POSIX-compliant interface for standard system programming.

The project is distinguished by its integrated development workflow, which relies on a cross-compilation build pipeline to generate system images from ho
- [fastapi/fastapi](https://awesome-repositories.com/repository/fastapi-fastapi.md) (99,260 ⭐) — FastAPI is a web framework for building APIs with Python. It leverages standard language type hints to provide automatic data validation, request parsing, and interactive API documentation generation. The framework supports asynchronous request handling and manages execution contexts to prevent blocking the main event loop.

The project includes a dependency injection system that allows for the resolution and injection of reusable components into request handlers. This system supports request-scoped caching, lifecycle management, and integration with security mechanisms like OAuth2 and JSON We
- [tuhdo/os01](https://awesome-repositories.com/repository/tuhdo-os01.md) (13,426 ⭐) — This project is an educational resource and technical reference for building operating systems from scratch. It provides a comprehensive guide to mastering x86 architecture and implementing core kernel components by writing code that executes directly on hardware without the support of standard libraries or operating system abstractions.

The materials focus on low-level systems engineering, teaching users how to interpret technical datasheets to manage hardware resources. It covers the fundamental mechanics of bare-metal programming, including the use of assembly language to define execution
- [morvanzhou/reinforcement-learning-with-tensorflow](https://awesome-repositories.com/repository/morvanzhou-reinforcement-learning-with-tensorflow.md) (9,464 ⭐) — This project is an educational repository of reinforcement learning agents and tutorials implemented using TensorFlow. It provides a practical codebase for both model-free and model-based learning agents, designed to demonstrate how AI agents learn through trial and error.

The collection features detailed implementations of various algorithmic approaches, including Deep Q-Networks and Policy Gradient methods. It specifically covers Actor-Critic architectures for continuous and discrete action spaces, alongside Proximal Policy Optimization and Deep Deterministic Policy Gradients.

The framewor