sisl / MPHRLLinks
Model Primitive Hierarchical Reinforcement Learning
☆13Updated 2 years ago
Alternatives and similar repositories for MPHRL
Users that are interested in MPHRL are comparing it to the libraries listed below
Sorting:
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- ☆16Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 3 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 10 months ago
- ☆17Updated last year
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 4 years ago
- ☆29Updated 4 years ago
- P3O paper code☆29Updated 6 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆45Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Representation Learning in RL☆14Updated 3 years ago
- ☆26Updated 5 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 3 years ago
- ☆24Updated 11 months ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 weeks ago
- ☆15Updated 4 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago