jhejna / inverse-preference-learningLinks
☆42Updated 2 years ago
Alternatives and similar repositories for inverse-preference-learning
Users that are interested in inverse-preference-learning are comparing it to the libraries listed below
Sorting:
- Official code repository for Prompt-DT.☆116Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆131Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆78Updated 3 years ago
- ☆55Updated 3 months ago
- ☆36Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- Synthetic Experience Replay☆103Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆111Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆110Updated last year
- 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☆91Updated 4 years ago
- ☆57Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆107Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆151Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 2 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆76Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- Conservative Q Learning on top of SAC☆132Updated 3 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated 10 months ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆59Updated last year
- ☆23Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆74Updated 7 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆116Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- ☆18Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated 10 months ago