jhejna / few-shot-preference-rl
☆31Updated last year
Related projects ⓘ
Alternatives and complementary repositories for few-shot-preference-rl
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆62Updated 4 months ago
- ☆45Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆29Updated 3 years ago
- Official release of CompoSuite, a compositional RL benchmark☆46Updated 9 months ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 2 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆26Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Updated 2 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆17Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated last year
- Synthetic Experience Replay☆74Updated 5 months ago
- EARL: Environment for Autonomous Reinforcement Learning☆34Updated 2 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 2 weeks ago
- ☆32Updated last year
- [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
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆17Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆34Updated 2 years ago
- Reinforcement Learning via Supervised Learning☆68Updated 2 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆35Updated last year
- ☆47Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆59Updated last year
- ☆69Updated 2 years ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆44Updated 8 months ago
- ☆17Updated 7 months ago
- My Body Is A Cage☆38Updated 3 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆25Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆95Updated 5 months ago
- ☆31Updated 3 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆105Updated 2 years ago
- Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning☆23Updated 8 months ago