cyoon1729 / Multi-agent-reinforcement-learningLinks
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
☆65Updated 6 years ago
Alternatives and similar repositories for Multi-agent-reinforcement-learning
Users that are interested in Multi-agent-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- ☆85Updated 3 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 8 months ago
- Code for Weighted QMIX☆139Updated 4 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆65Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆156Updated last year
- ☆41Updated 5 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆96Updated 2 years ago
- ☆101Updated 3 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 3 years ago
- scalable multi agents reinforcement learning☆62Updated 7 years ago
- This is the official implementation of Multi-Agent PPO.☆109Updated 2 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆114Updated 2 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- ☆76Updated 5 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago