tarod13 / laplacian_dual_dynamicsLinks
Dual optimization to learn laplacian eigenpairs in arbitrary spaces
☆13Updated 5 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
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- Code for the paper "Learning to Assist Humans without Inferring Rewards"☆15Updated 11 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated 9 months ago
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆21Updated 6 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆48Updated this week
- ☆45Updated 2 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆31Updated 5 months ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆16Updated 2 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆70Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- Synthetic Experience Replay☆92Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- ☆31Updated 2 years ago
- ☆31Updated 4 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated last month
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated 2 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆39Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆58Updated 8 months ago
- ☆18Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 3 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆84Updated 6 months ago
- ☆48Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 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