hanizaidi110 / Opponent-Modeling-and-Predicting-Opponent-moves-in-PokerLinks
Advanced_Data_Integration_Project
☆11Updated 7 years ago
Alternatives and similar repositories for Opponent-Modeling-and-Predicting-Opponent-moves-in-Poker
Users that are interested in Opponent-Modeling-and-Predicting-Opponent-moves-in-Poker are comparing it to the libraries listed below
Sorting:
- ☆13Updated 3 years ago
- ☆14Updated 3 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆54Updated last year
- Fictitious Self-play & Reinforcement Learning☆18Updated 7 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆15Updated 4 years ago
- An unofficial implementation for online decision transformer☆40Updated 3 years ago
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆40Updated 4 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆22Updated 3 years ago
- Robust Reinforcement Learning Benchmark☆12Updated last year
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆32Updated 7 years ago
- ☆21Updated 4 years ago
- Reinforcement learning algorithms to play Poker☆14Updated 3 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 7 years ago
- Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)☆22Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆17Updated last year
- Code for the paper "Deep FTRL-ORW: An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Ga…☆11Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 4 months ago
- GAIL learning to imitate PPO playing CartPole.☆12Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆29Updated 5 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method☆45Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13Updated last year
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆30Updated 6 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆54Updated 3 years ago