yihaosun1124 / mobile
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:
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated 6 months ago
- Benchmarked implementations of Offline RL Algorithms.☆72Updated 2 months ago
- ☆45Updated 5 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆55Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Updated last year
- CORRO code☆35Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated last month
- ☆55Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 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 last year
- ☆23Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆34Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆58Updated 2 years ago
- ☆15Updated last year
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆32Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆92Updated 9 months ago
- Anti exploration in offline reinforcement learning☆9Updated 4 years ago
- ☆22Updated 2 years ago
- ☆42Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆71Updated 10 months ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆19Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆56Updated last year
- ☆25Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆100Updated 11 months ago
- Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3☆31Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year