rpSebastian / AutoCFR
Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)
☆16Updated 8 months ago
Alternatives and similar repositories for AutoCFR:
Users that are interested in AutoCFR are comparing it to the libraries listed below
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆46Updated 4 months ago
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆37Updated 3 years ago
- ☆18Updated 3 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆19Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- Results reproductions & comparisons between OpenSpiel implementations, associated paper & originating works☆17Updated 3 years ago
- Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)☆19Updated 2 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated last year
- Code for "Dynamic Discounted Counterfactual Regret Minimization", ICLR 2024 (Spotlight)☆8Updated 8 months ago
- ☆10Updated 2 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆19Updated 2 years ago
- ☆11Updated 2 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆18Updated 5 months ago
- ☆28Updated 3 years ago
- ☆25Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆64Updated 3 years ago
- Code for magnetic mirror descent.☆15Updated last year
- ☆12Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated last year
- MATE: the Multi-Agent Tracking Environment.☆33Updated last year
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆50Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 4 months ago
- ☆12Updated 4 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆23Updated 3 months ago
- ☆9Updated 3 years ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆38Updated 2 months ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆31Updated 2 years ago