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:
- ☆222Updated 2 years ago
- ☆45Updated 4 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆173Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆67Updated 4 years ago
- ☆48Updated 3 years ago
- [ICLR 2024] Official Implementation of ACORM☆63Updated last year
- ☆100Updated 5 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆220Updated last year
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆21Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆94Updated 2 years ago
- Code for Weighted QMIX☆145Updated 5 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆208Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆82Updated last year
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆103Updated 7 months ago
- ☆40Updated 3 years ago
- ☆110Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆65Updated 5 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆39Updated 2 years ago
- ☆52Updated 3 years ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆63Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆147Updated last year
- ☆17Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆46Updated last year
- Transformer in RL for decision-making☆104Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆40Updated 3 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆176Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆62Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆231Updated last year