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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ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
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imitation learningPyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
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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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LWDRLCLightweight deep RL Libraray for continuous control.
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SARNetCode repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
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Rainy☔ Deep RL agents with PyTorch☔
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Ppo PytorchMinimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
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wolpertinger ddpgWolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
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Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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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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Gym Gazebo2gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
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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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Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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Paac.pytorchPytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
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DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
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Rl algosReinforcement Learning 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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omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
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ppo-pytorchProximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
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rl pytorchDeep Reinforcement Learning Algorithms Implementation in PyTorch
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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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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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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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RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
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DrqDrQ: Data regularized Q
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Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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RadRAD: Reinforcement Learning with Augmented Data
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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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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ga-openai-gymUsage of genetic algorithms to train a neural network in multiple OpenAI gym environments.
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DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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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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ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
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Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
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DrlkitA High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
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Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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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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Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
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MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Rlenv.directoryExplore and find reinforcement learning environments in a list of 150+ open source environments.
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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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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Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
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ActiveRagdollControllersResearch into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)
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