jidiai / Competition_AAMAS2023
source code for AAMAS 2023 Imperfect-information Card Game Competition
☆12Updated 11 months ago
Alternatives and similar repositories for Competition_AAMAS2023:
Users that are interested in Competition_AAMAS2023 are comparing it to the libraries listed below
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆58Updated last year
- Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体☆51Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆72Updated 2 years ago
- Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning☆25Updated 11 months ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆55Updated 9 months ago
- CORRO code☆35Updated 2 years ago
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆74Updated 10 months ago
- Official implementation of "Learning from Visual Observation via Offline Pretrained State-to-Go Transformer"☆19Updated last year
- Official code repository for Prompt-DT.☆102Updated 2 years ago
- RLA is a tool for managing your RL experiments automatically☆25Updated last month
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆28Updated last year
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆19Updated 2 years ago
- ☆41Updated 2 years ago
- ☆42Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆45Updated 2 years ago
- ☆29Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 2 years ago
- ☆12Updated 2 years ago
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated last year
- code for the paper Offline Prioritized Experience Replay☆13Updated last year
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆33Updated 11 months ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆24Updated last year
- This is the source code of RPG (Reward-Randomized Policy Gradient)☆43Updated 2 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆23Updated 4 months ago
- Exploring techniques to generate diverse conventions in multi-agent settings☆12Updated last year
- ☆29Updated last year