rraileanu / idaacLinks
☆54Updated last year
Alternatives and similar repositories for idaac
Users that are interested in idaac are comparing it to the libraries listed below
Sorting:
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- ☆26Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- ☆114Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- ☆57Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆32Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 5 years ago
- Simple maze environments using mujoco-py☆56Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆66Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 3 years ago
- ☆51Updated 2 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models