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Ju-jl avatar

Ju-jl/ReinforcementLearningAnIntroduction.jl

0
View on GitHub↗
332 stars·60 forks·Julia·MIT·13 viewsjuliareinforcementlearning.org/ReinforcementLearningAnIntroduction.jl↗

ReinforcementLearningAnIntroduction.jl

Julia code for the book Reinforcement Learning An Introduction

Features

  • Reinforcement Learning Frameworks - Julia implementations of algorithms from the standard introductory text.

Star history

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How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with ReinforcementLearningAnIntroduction.jl

These projects share indexed features with ReinforcementLearningAnIntroduction.jl. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • google/dopaminegoogle avatar

    google/dopamine

    10,879View on GitHub↗

    Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse simulated environments. It provides an agent development toolkit that utilizes a flat class hierarchy to facilitate the creation and extension of learning agents. The framework includes a standardization layer via environment wrappers that connect agents to various physics simulations and gaming environments. It also features a high-performance experience replay buffer for storing and sampling transition data to improve training stability, alongside a dedicated hyperparameter

    Jupyter Notebook
    View on GitHub↗10,879
  • facebookresearch/habitat-labfacebookresearch avatar

    facebookresearch/habitat-lab

    2,848View on GitHub↗

    Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor environments. It functions as a high-performance 3D indoor environment simulator that supports physics-based interaction, enabling research into navigation and manipulation tasks. The platform provides a modular task-environment abstraction that separates task logic from environment simulation, using configuration-driven pipeline assembly to compose simulation and training pipelines. It includes a hierarchical sensor-actuator architecture for mixing and matching perception and act

    Pythonaicomputer-visiondeep-learning
    View on GitHub↗2,848
  • aunum/goldaunum avatar

    aunum/gold

    351View on GitHub↗

    Reinforcement Learning in Go

    Go
    View on GitHub↗351
  • chainer/chainerrlchainer avatar

    chainer/chainerrl

    1,200View on GitHub↗

    ChainerRL is a deep reinforcement learning library built on top of Chainer.

    Python
    View on GitHub↗1,200
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Frequently asked questions

What does ju-jl/reinforcementlearninganintroduction.jl do?

Julia code for the book Reinforcement Learning An Introduction

What are the main features of ju-jl/reinforcementlearninganintroduction.jl?

The main features of ju-jl/reinforcementlearninganintroduction.jl are: Reinforcement Learning Frameworks.

Which projects share features with ju-jl/reinforcementlearninganintroduction.jl?

Projects with overlapping indexed features include: facebookresearch/habitat-lab — Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor… google/dopamine — Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse… aunum/gold — Reinforcement Learning in Go. deep-agent/r1-v. chainer/chainerrl — ChainerRL is a deep reinforcement learning library built on top of Chainer. alibaba/roll — ROLL is a distributed reinforcement learning framework and model alignment toolkit designed for large language models.…