indylab / nxdoLinks
Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games
☆39Updated 3 years ago
Alternatives and similar repositories for nxdo
Users that are interested in nxdo are comparing it to the libraries listed below
Sorting:
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆51Updated 11 months ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- ☆9Updated 4 years ago
- ☆18Updated 4 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- Results reproductions & comparisons between OpenSpiel implementations, associated paper & originating works☆16Updated 4 years ago
- Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)☆20Updated last year
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- ☆12Updated 3 years ago
- ☆13Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 9 months ago
- ☆49Updated 4 years ago
- Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)☆21Updated 3 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…☆20Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆175Updated 3 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 5 months ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆29Updated 10 months 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
- Code for Model-Free Opponent Shaping (ICML 2022)☆19Updated 2 years ago
- ☆75Updated last year
- ☆43Updated 4 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Updated 3 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 3 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆32Updated last year
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆70Updated 2 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆30Updated 2 years ago