RyanLiu112 / MRN
[NeurIPS 2022] Official codebase for "Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning".
☆19Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MRN
- An open source benchmark for Multi Agent Reinforcement Learning☆29Updated last year
- ☆47Updated last year
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆20Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- ☆28Updated last year
- Official code repository for Prompt-DT.☆96Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆28Updated 8 months ago
- curriculum☆19Updated last year
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆19Updated last year
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆114Updated 3 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆27Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆49Updated 11 months ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆40Updated last week
- Google Research Football MARL Benchmark and Research Toolkit☆33Updated 5 months ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated last week
- ☆32Updated last year
- ☆17Updated 6 months ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆26Updated 11 months ago
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆37Updated 6 months ago
- CORRO code☆34Updated 2 years ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆37Updated last week
- ☆51Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆73Updated last month
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated last year
- Implementation of RPPO(Risk-sensitive PPO) and RPBT(Population-based self-play with RPPO)☆10Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆69Updated 11 months ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆17Updated 2 years ago
- ☆14Updated 3 years ago