chwoong / LiRELinks
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning (ICML 2024)
☆17Updated last year
Alternatives and similar repositories for LiRE
Users that are interested in LiRE are comparing it to the libraries listed below
Sorting:
- ☆42Updated 2 years ago
- ☆58Updated last week
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆132Updated 4 years ago
- ☆25Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆112Updated last year
- Official code repository for Prompt-DT.☆119Updated 3 years ago
- ☆113Updated 9 months ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆115Updated last year
- ☆29Updated 2 years ago
- Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.☆30Updated 6 months ago
- Synthetic Experience Replay☆107Updated last year
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated 2 years ago
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆165Updated 2 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- ☆63Updated last year
- Implementations of Multi-Task and Meta-Learning baselines for the Metaworld benchmark☆28Updated 4 months ago
- ☆37Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- A PyTorch implementation of Implicit Q-Learning☆92Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆157Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- off-policy RL on long sequences☆154Updated 4 months ago
- [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning☆39Updated 6 months ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Updated last year
- Repo for Implicit Diffusion Q-Learning☆119Updated 2 years ago
- A benchmark for offline goal-conditioned RL and offline RL☆298Updated 2 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆92Updated 2 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Updated last year