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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DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
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imitation learningPyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
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Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Rainy☔ Deep RL agents with PyTorch☔
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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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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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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dqn zooThe implement of all kinds of dqn reinforcement learning with Pytorch
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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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Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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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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TianshouAn elegant PyTorch deep reinforcement learning library.
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ElegantRLScalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
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ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using 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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Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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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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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
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RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
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omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
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reinforcement learning ppo rndDeep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
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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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Pytorch RlDeep Reinforcement Learning with pytorch & visdom
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Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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Parl SampleDeep reinforcement learning using baidu PARL(maze,flappy bird and so on)
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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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Minecraft Reinforcement LearningDeep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
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Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
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Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
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Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
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Deep Rl TensorflowTensorFlow implementation of Deep Reinforcement Learning papers
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Keras Rl2Reinforcement learning with tensorflow 2 keras
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xingtianxingtian is a componentized library for the development and verification of reinforcement learning algorithms
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TorchrlHighly Modular and Scalable Reinforcement Learning
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DrlRepository for codes of 'Deep Reinforcement Learning'
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UCThelloUCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
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yarllCombining deep learning and reinforcement learning.
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king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
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TF2-RLReinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
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dqn-obstacle-avoidanceDeep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network
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Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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