matteokarldonati / Counterfactual-Multi-Agent-Policy-GradientsLinks
PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
☆59Updated 5 years ago
Alternatives and similar repositories for Counterfactual-Multi-Agent-Policy-Gradients
Users that are interested in Counterfactual-Multi-Agent-Policy-Gradients are comparing it to the libraries listed below
Sorting:
- Code for Weighted QMIX☆140Updated 4 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- ☆76Updated 5 years ago
- ☆216Updated 2 years ago
- ☆97Updated 4 years ago
- ☆102Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- There will be updates later☆84Updated 6 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆189Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆161Updated last year
- This is the official implementation of Multi-Agent PPO.☆116Updated 2 years ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆57Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- A plotter for reinforcement learning (RL)☆231Updated 3 years ago
- ☆43Updated 3 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆94Updated 4 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆48Updated last year
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆134Updated 4 years ago
- pytorch实现的一些MARL算法☆67Updated 4 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆78Updated 8 months ago
- ☆89Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆68Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆39Updated 2 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago