Remtasya / Distributional-Multi-Agent-Actor-Critic-Reinforcement-Learning-MADDPG-Tennis-Environment
The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where each agent uses centralized critic training but decentralized actor execution, and is capable of learning either cooperative or competitive environments. This is demonstrated on the Unity Tennis Environment.
☆23Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Distributional-Multi-Agent-Actor-Critic-Reinforcement-Learning-MADDPG-Tennis-Environment
- Jax and Torch Multi-Agent SAC on PettingZoo API☆61Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆75Updated 3 years ago
- ☆39Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆93Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆57Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆133Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆50Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆74Updated 10 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆45Updated 4 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆110Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆110Updated 7 months ago
- ☆90Updated 3 years ago
- Code for Weighted QMIX☆123Updated 4 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆16Updated 6 years ago
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆42Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆146Updated 7 months ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆26Updated last year
- ☆71Updated 5 years ago
- ☆186Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆95Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆111Updated last year
- pytorch实现的一些MARL算法☆64Updated 3 years ago
- Implementation of DyMA-CL, MARL algorithm☆25Updated 4 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆40Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆43Updated 3 years ago
- There will be updates later☆82Updated 5 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆53Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆96Updated 2 years ago
- ☆46Updated 4 years ago