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A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
A Reinforcement Learning Project using PPO + LSTM
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
This 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…
Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".
Repo containing code for multi-agent deep reinforcement learning (MADRL).
MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)
Reinforcement learning tutorials
Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning
Cellular Automata Environments for Reinforcement Learning
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
Random Network Distillation pytorch
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Repo for offline reinforcement learning methods
[파이썬과 케라스로 배우는 강화학습] 텐서플로우 2.0 개정판 예제
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2