Reinforcement Learning AlgorithmsThis repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
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Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
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Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
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Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
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Pytorch RlDeep Reinforcement Learning with pytorch & visdom
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Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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Deeprl algorithmsDeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
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Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
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Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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Deep-Reinforcement-Learning-NotebooksThis Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
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Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
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TianshouAn elegant PyTorch deep reinforcement learning library.
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Deep Reinforcement Learning Algorithms31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Ppo PytorchMinimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
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Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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Baby A3cA high-performance Atari A3C agent in 180 lines of PyTorch
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Pytorch A2c Ppo Acktr GailPyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
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Run Skeleton RunReason8.ai PyTorch solution for NIPS RL 2017 challenge
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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yarllCombining deep learning and reinforcement learning.
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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Mushroom RlPython library for Reinforcement Learning.
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Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
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LWDRLCLightweight deep RL Libraray for continuous control.
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ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
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Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
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imitation learningPyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
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deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
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Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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BtgymScalable, event-driven, deep-learning-friendly backtesting library
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Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
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Pytorch A3cPyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
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td-regTD-Regularized Actor-Critic Methods
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Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
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TorchrlHighly Modular and Scalable Reinforcement Learning
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Rainy☔ Deep RL agents with PyTorch☔
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Reinforcement LearningDeep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
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Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
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