Zhang-Xiaoxue / RL_algorithms_PytorchLinks
Implement reinforcement learning algorithms in Pytorch
☆34Updated 4 years ago
Alternatives and similar repositories for RL_algorithms_Pytorch
Users that are interested in RL_algorithms_Pytorch are comparing it to the libraries listed below
Sorting:
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 4 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆161Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆182Updated last year
- PyTorch implementation of MATD3☆13Updated 5 years ago
- Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym☆56Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆91Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆86Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- ☆40Updated 3 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆91Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- ☆60Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆89Updated 9 months ago
- RL algorithms☆142Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- A clean and robust Pytorch implementation of PPO on Discrete action space☆69Updated last year
- Simple verification experiments codes for multi-agent RL using OpenAI MPE environment☆34Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- ☆215Updated 2 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆27Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆154Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆49Updated 5 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- ☆41Updated 3 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆104Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆119Updated last month