zchuning / repo
Resilient Model-Based RL by Regularizing Posterior Predictability
☆12Updated 6 months ago
Related projects: ⓘ
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆49Updated 8 months ago
- BeCL: Behavior Contrastive Learning for Unsupervised Skill Discovery.☆16Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆19Updated last year
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Updated 7 months ago
- Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023☆28Updated 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…☆41Updated last year
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆24Updated last year
- ☆18Updated last year
- code for the paper Offline Prioritized Experience Replay☆13Updated last year
- Source code to reproduce experiments from Mendez et al., ICLR '22☆20Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆31Updated last year
- ☆13Updated last year
- ☆21Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆35Updated 2 years ago
- Synthetic Experience Replay☆62Updated 3 months ago
- ☆30Updated last month
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆64Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆100Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆53Updated 3 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆24Updated 3 months ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆19Updated 5 months ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆26Updated last month
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 3 years ago
- ☆34Updated last year
- ☆16Updated last year
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆28Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated 2 weeks ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆33Updated 3 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆24Updated last year
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆34Updated 11 months ago