yihaosun1124 / mobileLinks
Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
☆19Updated last year
Alternatives and similar repositories for mobile
Users that are interested in mobile are comparing it to the libraries listed below
Sorting:
- Benchmarked implementations of Offline RL Algorithms.☆75Updated 5 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆19Updated 9 months ago
- ☆49Updated 3 weeks ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated last week
- [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
- Author's PyTorch implementation of TD7 for online and offline RL☆146Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆27Updated 3 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆104Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆59Updated 2 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆104Updated last year
- Synthetic Experience Replay☆96Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- A PyTorch implementation of Implicit Q-Learning☆83Updated 3 years 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
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆58Updated last year
- ☆16Updated 2 years ago
- ☆19Updated 2 years ago
- ☆24Updated 3 years ago
- ☆56Updated 2 years ago
- ☆18Updated last year
- ☆23Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆37Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆70Updated 2 years ago
- ☆15Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago