Zhang-Xiaoxue / RL_algorithms_Pytorch
Implement reinforcement learning algorithms in Pytorch
☆33Updated 3 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
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆120Updated 11 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆163Updated 11 months ago
- Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym☆57Updated 3 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆71Updated 9 months ago
- ☆96Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆78Updated 4 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated 3 weeks ago
- Deep recurrent Q learning on CartPole-v1 environment☆87Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆69Updated 2 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆54Updated 3 years ago
- ☆197Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆140Updated 9 months ago
- ☆40Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆50Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆104Updated 2 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆35Updated 5 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆63Updated 2 years ago
- TD3 in Pytorch☆30Updated 3 years ago
- ☆42Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆106Updated 3 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆69Updated 2 years ago
- Code for Weighted QMIX☆133Updated 4 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆14Updated 4 years ago
- ☆59Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆53Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆72Updated 4 months ago
- DSAC; Distributional Soft Actor-Critic☆125Updated last month
- pytorch实现的一些MARL算法☆66Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆60Updated last year