rpSebastian / AutoCFRLinks
Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)
☆19Updated last year
Alternatives and similar repositories for AutoCFR
Users that are interested in AutoCFR are comparing it to the libraries listed below
Sorting:
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆39Updated 3 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆51Updated 9 months ago
- Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)☆21Updated 2 years ago
- ☆18Updated 4 years ago
- ☆11Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 3 years ago
- Results reproductions & comparisons between OpenSpiel implementations, associated paper & originating works☆16Updated 4 years ago
- Code for "Dynamic Discounted Counterfactual Regret Minimization", ICLR 2024 (Spotlight)☆9Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- ☆14Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆42Updated 7 months ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 5 months ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- ☆28Updated 3 years ago
- ☆12Updated 4 years ago
- ☆49Updated 3 years ago
- Google Research Football MARL Benchmark and Research Toolkit☆44Updated last year
- ☆32Updated 2 years ago
- ☆15Updated last year
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated last year
- ☆9Updated 3 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆26Updated 7 months ago
- The Starcraft Multi-Agent challenge lite☆42Updated 8 months ago
- ☆26Updated 3 years ago
- ☆13Updated last year
- ☆12Updated 2 years ago