kantologist / multiagent-sac
Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
☆35Updated 3 years ago
Alternatives and similar repositories for multiagent-sac:
Users that are interested in multiagent-sac are comparing it to the libraries listed below
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated last month
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆18Updated 6 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 3 years ago
- ☆96Updated 3 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆52Updated 4 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆71Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆58Updated 9 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆64Updated 6 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆105Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆72Updated 4 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆121Updated 11 months ago
- A collection of recent MARL papers☆87Updated 4 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆87Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆163Updated 11 months ago
- ☆40Updated 3 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆40Updated 3 years ago
- ☆38Updated 2 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆27Updated 2 years ago
- Implementation of DyMA-CL, MARL algorithm☆26Updated 4 years ago
- Implementation of PPO Lagrangian in PyTorch☆38Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆50Updated 3 years ago
- Single-file pytorch implementation of hybrid-SAC☆54Updated 3 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆21Updated last year
- Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21☆80Updated 10 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML☆15Updated last year
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆60Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago