aicenter / openspiel_reproductions
Results reproductions & comparisons between OpenSpiel implementations, associated paper & originating works
☆16Updated 3 years ago
Related projects: ⓘ
- ☆18Updated 3 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆26Updated 2 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆43Updated 2 weeks ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆19Updated 2 years ago
- Code for magnetic mirror descent.☆13Updated 11 months ago
- ☆12Updated 3 years ago
- ☆12Updated 2 years ago
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆34Updated 3 years ago
- Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)☆17Updated 2 years ago
- Multi-Agent RL Environment for the Stratego Board Game (and variants)☆29Updated last year
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆16Updated last year
- ☆12Updated 4 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆16Updated 2 years ago
- Mirror Descent Policy Optimization☆37Updated 3 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆17Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆24Updated 2 years ago
- Implementation of the Off Belief Learning algorithm.☆44Updated 2 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆44Updated 5 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 3 years ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆23Updated last year
- V-MPO torch version with DMLab30 and GTrXL☆12Updated 3 years ago
- ☆28Updated 3 years ago
- ☆12Updated 3 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆43Updated 6 months ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆21Updated 2 years ago
- Implementation of RPPO(Risk-sensitive PPO) and RPBT(Population-based self-play with RPPO)☆10Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆24Updated 3 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆21Updated 5 months ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆11Updated 4 months ago