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OpenAI Gym

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An open-source toolkit from OpenAI that implements several Reinforcement Learning benchmarks including: classic control, Atari, Robotics and MuJoCo tasks.

(Description by Evolutionary learning of interpretable decision trees)

(Image Credit: OpenAI Gym)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lcswillems/torch-ac

Proximal Policy Optimization Algorithms

https://github.com/learn-to-race/l2r

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/lgerrets/rl18-curiosity

Proximal Policy Optimization Algorithms

https://github.com/liampetti/DDPG

Continuous control with deep reinforcement learning

https://github.com/ligy2016/gym

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

https://github.com/liuyuezhang/pyrl

Continuous control with deep reinforcement learning

https://github.com/liyiyuian/Deep-Learning

Proximal Policy Optimization Algorithms

https://github.com/llSourcell/OpenAI_Five_vs_Dota2_Explained

Proximal Policy Optimization Algorithms

https://github.com/lollcat/Soft-Actor-Critic

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/lucadellalib/sac-beta

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/luke-bhan/TwitterSentimentAnalysisTool

Continuous control with deep reinforcement learning

https://github.com/lukebhan/TwitterSentimentAnalysisTool

Continuous control with deep reinforcement learning

https://github.com/luthierman/quantum-research

Reinforcement Learning with Quantum Variational Circuits

https://github.com/luthierman/quantum-research-colab

Reinforcement Learning with Quantum Variational Circuits

https://github.com/madhur-tandon/RL-Project

Continuous control with deep reinforcement learning

https://github.com/madvn/DDPG

Continuous control with deep reinforcement learning

https://github.com/majercakdavid/gym-virtual-quant-trading

Continuous control with deep reinforcement learning

https://github.com/mark-gluzman/NmodelPPO

Proximal Policy Optimization Algorithms

https://github.com/markub3327/rl-agent

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/markub3327/rl-baselines

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/markub3327/rl-toolkit

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/marload/DeepRL-TensorFlow2

Deep Recurrent Q-Learning for Partially Observable MDPs

https://github.com/massquantity/DBRL

Continuous control with deep reinforcement learning

https://github.com/mathformoso/RL-playground---ddpg

Continuous control with deep reinforcement learning

https://github.com/matthewsparr/Reinforcement-Learning-Lesson

Continuous control with deep reinforcement learning

https://github.com/mbrucker07/experiments

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

https://github.com/michael-snower/ppo

Proximal Policy Optimization Algorithms

https://github.com/microsoft/llf-bench

LLF-Bench: Benchmark for Interactive Learning from Language Feedback

https://github.com/microsoft/strategically_efficient_rl

Proximal Policy Optimization Algorithms

https://github.com/mightypirate1/PPO_homebrew

Proximal Policy Optimization Algorithms

https://github.com/miguelsvasco/multimodal-atari-games

Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning

https://github.com/mindspore-courses/Deep-Reinforcement-Learning-Algorithms-with-MindSpore

Continuous control with deep reinforcement learning

https://github.com/miroblog/tf_deep_rl_trader

Proximal Policy Optimization Algorithms

https://github.com/mit-realm/neuriss

Proximal Policy Optimization Algorithms

https://github.com/ml-jku/l2m

Decision Transformer: Reinforcement Learning via Sequence Modeling

https://github.com/montaserFath/Reinforcement-Learning-for-Prosthetics

Continuous control with deep reinforcement learning

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