adithya-subramanian / Multi_Agent_Soft_Actor_CriticLinks
A Pytorch Implementation of Multi Agent Soft Actor Critic
☆42Updated 6 years ago
Alternatives and similar repositories for Multi_Agent_Soft_Actor_Critic
Users that are interested in Multi_Agent_Soft_Actor_Critic are comparing it to the libraries listed below
Sorting:
- ☆45Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- There will be updates later☆85Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- ☆54Updated 6 years ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- ☆40Updated 3 years ago
- ☆32Updated 2 years ago
- ☆42Updated 4 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- ☆25Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆55Updated 5 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- ☆22Updated 7 years ago
- ☆104Updated 4 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆197Updated last year
- ☆49Updated 4 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆36Updated 4 years ago
- ☆29Updated 4 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆42Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated 11 months ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆58Updated 3 years ago
- ☆98Updated 4 years ago