mttga / pymarl_transformersLinks
Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (AAMAS 2023)
☆50Updated last year
Alternatives and similar repositories for pymarl_transformers
Users that are interested in pymarl_transformers are comparing it to the libraries listed below
Sorting:
- Codes for the paper "HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism"☆23Updated 2 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆33Updated 4 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆41Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆70Updated 3 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆57Updated 3 years ago
- ☆22Updated last year
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆28Updated 2 years ago
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆34Updated last year
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆56Updated last year
- ☆16Updated 2 years ago
- ☆41Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆52Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning☆23Updated 2 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆28Updated 9 months ago
- ☆39Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆47Updated 2 years ago
- ☆96Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆63Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 2 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Updated 2 years ago
- Implementation of PPO Lagrangian in PyTorch☆46Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- ☆43Updated 3 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆24Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- pytorch实现的一些MARL算法☆66Updated 4 years ago