BorealisAI / mtmfrlLinks
Multi Type Mean Field Reinforcement Learning
☆31Updated 2 years ago
Alternatives and similar repositories for mtmfrl
Users that are interested in mtmfrl are comparing it to the libraries listed below
Sorting:
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- ☆76Updated last year
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆36Updated last year
- ☆120Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆76Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- ☆49Updated 3 years ago
- Solving POMDP using Recurrent networks☆87Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- ☆52Updated 6 years ago
- There will be updates later☆84Updated 6 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- ☆44Updated 4 years ago
- ☆83Updated 6 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆72Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆209Updated 5 years ago
- ☆44Updated 2 years ago
- ☆94Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago