zachary2wave / Torch-rlLinks
☆24Updated 4 years ago
Alternatives and similar repositories for Torch-rl
Users that are interested in Torch-rl are comparing it to the libraries listed below
Sorting:
- The code for maddpg using pytorch☆170Updated 5 years ago
- My DRL library with tensorflow1.14 based on openai spinning-up☆63Updated 4 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Updated 3 years ago
- Tutorial for Reinforcement Learning☆189Updated 3 years ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆207Updated 3 years ago
- scalable multi agents reinforcement learning☆63Updated 7 years ago
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆49Updated 5 years ago
- Implementation of benchmark RL algorithms☆470Updated 3 years ago
- Pytorch for Deep Reinforcement Learning☆252Updated 5 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆52Updated 5 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆94Updated 4 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆539Updated 7 years ago
- RL algorithms☆141Updated 4 years ago
- pytorch实现的一些MARL算法☆68Updated 4 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆680Updated 7 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆406Updated 5 years ago
- Nash Q Learning☆32Updated 4 years ago
- The implement of the policy gradient RL algorithm with pytorch☆40Updated 4 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆352Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆427Updated 5 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆655Updated 5 years ago
- ☆89Updated 4 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆363Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆165Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆161Updated 2 years ago