chwoong / LiRELinks
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning (ICML 2024)
☆14Updated last year
Alternatives and similar repositories for LiRE
Users that are interested in LiRE are comparing it to the libraries listed below
Sorting:
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆102Updated 11 months ago
- ☆28Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆103Updated last year
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆126Updated 3 years ago
- ☆41Updated 2 years ago
- Official code repository for Prompt-DT.☆113Updated 2 years ago
- ☆23Updated last year
- [NeurIPS 2024] Official Implementation of Meta-DT☆44Updated 9 months ago
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆75Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆86Updated 7 months ago
- ☆62Updated 8 months ago
- Synthetic Experience Replay☆92Updated last year
- ☆35Updated 2 years ago
- ☆48Updated 7 months ago
- A PyTorch implementation of Implicit Q-Learning☆82Updated 3 years ago
- ☆97Updated 4 months ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated last year
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆163Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆144Updated last year
- A benchmark for offline goal-conditioned RL and offline RL☆196Updated last week
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆52Updated last year
- a simple and scalable agent for training adaptive policies with sequence-based RL☆131Updated last week
- ☆93Updated last year
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆19Updated 8 months ago
- [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning☆18Updated last month
- ☆9Updated last year
- ☆26Updated 2 years ago
- Official code for ICML 2024 paper Reinformer: Max-Return Sequence Modeling for offline RL☆41Updated 9 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆95Updated 10 months ago