Alternatives and similar repositories for DeepReinforcementLearning_Pytorch

Users that are interested in DeepReinforcementLearning_Pytorch are comparing it to the libraries listed below

• mengwanglalala / RL-algorithms
  RL algorithms
  ☆142Updated 4 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆91Updated last year
• thesouther / MARL
  多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
  ☆206Updated 3 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆72Updated 3 years ago
• Zhang-Xiaoxue / RL_algorithms_Pytorch
  Implement reinforcement learning algorithms in Pytorch
  ☆34Updated 4 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆161Updated last year
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆93Updated 4 years ago
• jidiai / ai_lib
  ☆168Updated last year
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆62Updated 4 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆170Updated 4 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆162Updated last year
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆142Updated last year
• ZYunfeii / DRL_algorithm_library
  This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
  ☆104Updated 3 years ago
• hangsz / reinforcement_learning
  [动手学强化学习]系列，基于pytorch。
  ☆57Updated 4 years ago
• johnjim0816 / rl-tutorials
  basic algorithms of reinforcement learning
  ☆213Updated 2 years ago
• laohuu / reinforcement_learning
  Reinforcement Learning Algorithms Based on PyTorch
  ☆20Updated 3 years ago
• manaski / MARL
  多智能体强化学习
  ☆101Updated 6 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆67Updated 4 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆80Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆186Updated last year
• NovemberChopin / RL_Tutorial
  Tutorial for Reinforcement Learning
  ☆187Updated 3 years ago
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆67Updated last year
• XinJingHao / TD3-BipedalWalkerHardcore-v2
  Solve BipedalWalkerHardcore-v2 with TD3
  ☆91Updated 2 years ago
• TimeBreaker / MARL-resources-collection
  A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
  ☆248Updated 2 years ago
• TimeBreaker / Adversarial-Reinforcement-Learning-Papers
  Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)
  ☆73Updated 3 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆221Updated 6 years ago
• ShAw7ock / MPE-Multiagent-RL-Algos
  Simple verification experiments codes for multi-agent RL using OpenAI MPE environment
  ☆34Updated 3 years ago
• indigoLovee / TD3
  TD3 in Pytorch
  ☆35Updated 3 years ago
• cyanrain7 / TRPO-in-MARL
  ☆217Updated 2 years ago