yeshenpy / PMICLinks
Original PyTorch implementation of PMIC from PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
☆21Updated last year
Alternatives and similar repositories for PMIC
Users that are interested in PMIC are comparing it to the libraries listed below
Sorting:
- ☆43Updated 3 years ago
- ☆43Updated 3 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆79Updated 11 months ago
- ☆98Updated 5 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆171Updated last year
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆89Updated 4 months ago
- ☆218Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆204Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Updated 2 years ago
- ☆107Updated 4 years ago
- A collection of offline reinforcement learning algorithms.☆205Updated 11 months ago
- ☆40Updated 3 years ago
- ☆51Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Code for Weighted QMIX☆144Updated 5 years ago
- ☆49Updated 4 years ago
- This is the official implementation of Multi-Agent PPO.☆125Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- There will be updates later☆87Updated 6 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆61Updated 5 years ago
- [ICML' 24] The PyTorch implementation of our paper: "Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforc…☆22Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆92Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆84Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆61Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆46Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆137Updated 4 years ago