Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+795.45%)
DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Stars: ✭ 628 (+1327.27%)
Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Stars: ✭ 26 (-40.91%)
Paac.pytorchPytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
Stars: ✭ 22 (-50%)
TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Stars: ✭ 90 (+104.55%)
Gym Gazebo2gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Stars: ✭ 257 (+484.09%)
Mushroom RlPython library for Reinforcement Learning.
Stars: ✭ 442 (+904.55%)
Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
Stars: ✭ 192 (+336.36%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (+429.55%)
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (+22.73%)
deep-rl-quadcopterImplementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
Stars: ✭ 17 (-61.36%)
SRLFSimple Reinforcement Learning Framework
Stars: ✭ 24 (-45.45%)
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)
Stars: ✭ 426 (+868.18%)
ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Stars: ✭ 575 (+1206.82%)
Pytorch DdpgImplementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Stars: ✭ 272 (+518.18%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (+113.64%)
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✭ 174 (+295.45%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+4561.36%)
pytorch-gymImplementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch
Stars: ✭ 39 (-11.36%)
deep rl acrobotTensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-27.27%)
reinforcement learning ppo rndDeep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
Stars: ✭ 33 (-25%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+797.73%)
Rainy☔ Deep RL agents with PyTorch☔
Stars: ✭ 39 (-11.36%)
SARNetCode repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
Stars: ✭ 14 (-68.18%)
DrqDrQ: Data regularized Q
Stars: ✭ 268 (+509.09%)
DrlkitA High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
Stars: ✭ 29 (-34.09%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (+727.27%)
Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (+625%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (+611.36%)
Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
Stars: ✭ 464 (+954.55%)
DDPGEnd to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
Stars: ✭ 41 (-6.82%)
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+5900%)
Rlenv.directoryExplore and find reinforcement learning environments in a list of 150+ open source environments.
Stars: ✭ 79 (+79.55%)
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Stars: ✭ 3,004 (+6727.27%)
Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (+0%)
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!
Stars: ✭ 173 (+293.18%)
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.
Stars: ✭ 167 (+279.55%)
Rl algosReinforcement Learning Algorithms
Stars: ✭ 14 (-68.18%)
omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Stars: ✭ 43 (-2.27%)
LWDRLCLightweight deep RL Libraray for continuous control.
Stars: ✭ 14 (-68.18%)
Deep-Q-NetworksImplementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
Stars: ✭ 38 (-13.64%)
AlphaNPIAdapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
Stars: ✭ 71 (+61.36%)
UnderflowWith underflow, create trafic light clusters that interact together to regulate circulation
Stars: ✭ 12 (-72.73%)
ddrlDeep Developmental Reinforcement Learning
Stars: ✭ 27 (-38.64%)
MaRLEnEMachine- and Reinforcement Learning ExtensioN for (game) Engines
Stars: ✭ 47 (+6.82%)
gym-battlesnakeMulti-agent reinforcement learning environment
Stars: ✭ 29 (-34.09%)
es pytorchHigh performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
Stars: ✭ 20 (-54.55%)
semantic-guidanceCode for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.
Stars: ✭ 19 (-56.82%)