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ShangtongZhang avatar

ShangtongZhang/DeepRL

0
View on GitHub↗
3,428 stars·698 forks·Python·MIT·8 views

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

Features

  • Algorithm Implementations - Deep reinforcement learning algorithms implemented in PyTorch.
  • Reinforcement Learning - Modularized Deep RL in PyTorch.
  • Reinforcement Learning Frameworks - Popular deep reinforcement learning algorithms implemented in PyTorch.

Star history

Star history chart for shangtongzhang/deeprlStar history chart for shangtongzhang/deeprl

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 DeepRL

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

    instadeepai/jumanji

    841View on GitHub↗

    🕹️ A diverse suite of scalable reinforcement learning environments in JAX

    Python
    View on GitHub↗841
  • openai/baselinesopenai avatar

    openai/baselines

    16,733View on GitHub↗

    Baselines is a comprehensive suite of frameworks for reinforcement learning algorithm implementation, imitation learning, and training orchestration. It provides a library of standardized learning algorithms used to benchmark and replicate research results, alongside a deep learning policy framework for constructing neural network architectures such as multi-layer perceptrons, convolutional networks, and long short-term memory networks. The project includes a specialized imitation learning toolkit that enables agents to mimic expert behavior through behavior cloning and generative adversarial

    Python
    View on GitHub↗16,733
  • 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
  • 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
Compare all 30 related projects→

Frequently asked questions

What does shangtongzhang/deeprl do?

Modularized Implementation of Deep RL Algorithms in PyTorch

What are the main features of shangtongzhang/deeprl?

The main features of shangtongzhang/deeprl are: Algorithm Implementations, Reinforcement Learning, Reinforcement Learning Frameworks.

Which projects share features with shangtongzhang/deeprl?

Projects with overlapping indexed features include: instadeepai/jumanji — 🕹️ A diverse suite of scalable reinforcement learning environments in JAX. openai/baselines — Baselines is a comprehensive suite of frameworks for reinforcement learning algorithm implementation, imitation… google/dopamine — Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse… huggingface/trl — This library provides a comprehensive framework for fine-tuning, aligning, and distilling transformer-based language… aunum/gold — Reinforcement Learning in Go. alibaba/roll — ROLL is a distributed reinforcement learning framework and model alignment toolkit designed for large language models.…