tarod13 / laplacian_dual_dynamics
Dual optimization to learn laplacian eigenpairs in arbitrary spaces
☆13Updated 4 months ago
Alternatives and similar repositories for laplacian_dual_dynamics
Users that are interested in laplacian_dual_dynamics are comparing it to the libraries listed below
Sorting:
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated last year
- Code for the paper "Learning to Assist Humans without Inferring Rewards"☆14Updated 10 months ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated 9 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆69Updated last year
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆21Updated 6 months ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- ☆32Updated 9 months ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆56Updated 7 months ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆17Updated last year
- ☆16Updated 2 years ago
- ☆31Updated 2 years ago
- [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills☆12Updated last year
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆55Updated 10 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆82Updated 5 months ago
- ☆31Updated 4 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆13Updated 2 years ago
- ☆18Updated 2 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆54Updated 4 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆38Updated last year
- Synthetic Experience Replay☆92Updated 11 months ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- ☆35Updated 3 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- Meta-RL Model-Based Algorithm☆33Updated 2 weeks ago