samjia2000 / HSP
This is a repository for Hidden-utility Self-Play.
☆26Updated last year
Related projects: ⓘ
- Overcooked human-AI experiment platform☆30Updated 8 months ago
- Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method☆31Updated last week
- Author's PyTorch implementation of TD7 for online and offline RL☆108Updated last year
- Google Research Football MARL Benchmark and Research Toolkit☆28Updated 4 months ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆108Updated 2 years ago
- ☆28Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆68Updated 10 months ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆83Updated last year
- A PyTorch implementation of Implicit Q-Learning☆66Updated 2 years ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆31Updated 2 months ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆24Updated 2 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆38Updated this week
- ☆10Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆61Updated 3 years ago
- D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.☆20Updated 11 months ago
- Implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage-guided policy regulariz…☆20Updated 3 months ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- ☆14Updated 3 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year
- ☆12Updated last year
- Model-based Offline Policy Optimization re-implement all by pytorch☆27Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆104Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆60Updated 10 months ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆21Updated 7 months ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆68Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆65Updated last week
- CORRO code☆33Updated 2 years ago
- ☆12Updated 4 months ago
- Representation Learning for RL☆110Updated last year
- ☆87Updated 3 years ago