KarlXing / LUSRLinks
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation (AAAI 2021)
☆27Updated 3 years ago
Alternatives and similar repositories for LUSR
Users that are interested in LUSR are comparing it to the libraries listed below
Sorting:
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆43Updated 3 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆38Updated last year
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago
- ☆53Updated last year
- ☆56Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆57Updated 2 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆34Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- ☆18Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- ☆48Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆56Updated last year
- PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).☆29Updated 3 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆32Updated 3 years ago
- CORRO code☆35Updated 2 years ago
- behavior cloning from observation☆35Updated 4 years ago
- ☆36Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆26Updated 5 years ago
- ☆15Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- Conservative Q Learning on top of SAC☆131Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆34Updated 2 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- ☆20Updated last year
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆77Updated last year