# huggingface/deep-rl-class **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/huggingface-deep-rl-class).** 4,772 stars · 775 forks · MDX · apache-2.0 ## Links - GitHub: https://github.com/huggingface/deep-rl-class - awesome-repositories: https://awesome-repositories.com/repository/huggingface-deep-rl-class.md ## Topics `deep-learning` `deep-reinforcement-learning` `reinforcement-learning` `reinforcement-learning-excercises` ## Description This project is a comprehensive deep reinforcement learning course and training platform. It provides a structured educational curriculum that combines theoretical lessons with hands-on tutorials to teach the implementation of neural networks and agent behavior. The platform integrates a model sharing hub where users can upload, download, and version trained machine learning models. It also features a benchmarking system that uses leaderboards to evaluate and compare agent performance against community standards. The educational experience is delivered through interactive notebooks and includes a progress-based certification system to validate the completion of technical assignments. Training is supported by specialized libraries for developing agents within simulated environments. ## Tags ### Artificial Intelligence & ML - [Reinforcement Learning Training](https://awesome-repositories.com/f/artificial-intelligence-ml/reinforcement-learning-training.md) — Provides a comprehensive framework for developing and optimizing agents within simulated environments using reinforcement learning. ([source](https://huggingface.co/deep-rl-course/unit0/introduction)) - [Agent Hubs](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-deployment/agent-hubs.md) — Implements a central hub for publishing, distributing, and downloading trained reinforcement learning agents. ([source](https://huggingface.co/deep-rl-course/unit0/introduction)) - [Agent Training Environment Platforms](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-training-environment-platforms.md) — Provides a platform combining tools and environments for developing, optimizing, and benchmarking RL agents. - [AI Model Benchmarking](https://awesome-repositories.com/f/artificial-intelligence-ml/artificial-intelligence-tooling/ai-observability-evaluation/ai-model-benchmarking.md) — Implements frameworks for evaluating trained agents against community standards and performance leaderboards. - [Remote Model Hubs](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-deployment-and-serving/model-hubs-and-pre-made-models/model-management-utilities/remote-model-hubs.md) — Provides a workflow for uploading trained agents to a central hub and downloading models for local use. - [RL Training Workflows](https://awesome-repositories.com/f/artificial-intelligence-ml/reinforcement-learning-training-pipelines/rl-training-workflows.md) — Implements standardized processes for training agents in simulated environments using deep RL algorithms. - [AI Fundamentals Certifications](https://awesome-repositories.com/f/artificial-intelligence-ml/artificial-intelligence-research/ai-fundamentals-certifications.md) — Provides a self-paced process to earn professional certifications by validating technical AI assignments. - [Model Performance Leaderboards](https://awesome-repositories.com/f/artificial-intelligence-ml/model-performance-visualizations/model-performance-leaderboards.md) — Includes ranked leaderboards to track and compare the efficiency of different trained agents. - [Neural Network Architectures](https://awesome-repositories.com/f/artificial-intelligence-ml/neural-network-architectures.md) — Implements deep learning architectures using PyTorch for calculating gradients and updating neural network weights. ### Education & Learning Resources - [Deep Learning Curriculum](https://awesome-repositories.com/f/education-learning-resources/deep-learning-curriculum.md) — Provides a comprehensive guide and learning path for mastering neural networks and agent behavior. - [Reinforcement Learning Curricula](https://awesome-repositories.com/f/education-learning-resources/deep-learning-curriculum/reinforcement-learning-curricula.md) — Offers a structured educational curriculum and hands-on tutorials specifically for deep reinforcement learning. ([source](https://huggingface.co/deep-rl-course/unit0/introduction)) - [Notebook-Based Lessons](https://awesome-repositories.com/f/education-learning-resources/educational-lessons/progressive-lesson-series/notebook-based-lessons.md) — Delivers self-paced learning through interactive Jupyter notebooks combining executable code and theoretical explanations. - [Certification Progress Tracking](https://awesome-repositories.com/f/education-learning-resources/educational-resources/courses-training-certifications/certification-progress-tracking.md) — Validates assignment completion through a self-paced system based on the percentage of work finished. ([source](https://huggingface.co/deep-rl-course/unit0/introduction)) ### Testing & Quality Assurance - [Agent Performance Benchmarks](https://awesome-repositories.com/f/testing-quality-assurance/agent-performance-benchmarks.md) — Provides a system for evaluating trained agents against community benchmarks via leaderboards and head-to-head competitions. ([source](https://huggingface.co/deep-rl-course/unit0/introduction)) ### Part of an Awesome List - [Gymnasium API Integrations](https://awesome-repositories.com/f/awesome-lists/ai/simulation-environments/simulation-environment-libraries/gymnasium-api-integrations.md) — Utilizes the Gymnasium standardized API to define state spaces and reward functions for agent training. ### Software Engineering & Architecture - [Certification Milestones](https://awesome-repositories.com/f/software-engineering-architecture/development-milestone-reviews/certification-milestones.md) — Tracks completion of technical assignment milestones to trigger the issuance of course certificates.