yihaosun1124 / mobileLinks
Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
☆18Updated last year
Alternatives and similar repositories for mobile
Users that are interested in mobile are comparing it to the libraries listed below
Sorting:
- ☆47Updated 6 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated 7 months ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆73Updated 3 months ago
- CORRO code☆35Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆56Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- ☆56Updated 2 years ago
- ☆23Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆36Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆19Updated 2 years ago
- ☆10Updated last year
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 3 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 last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆84Updated 6 months ago
- ☆15Updated 2 years ago
- ☆33Updated 2 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Updated 3 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 2 months ago
- ☆17Updated last year
- ☆15Updated 2 years ago
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Updated 2 years ago
- ☆24Updated 2 years ago
- ☆28Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆56Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated 2 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆31Updated last year
- Synthetic Experience Replay☆92Updated last year