ben-eysenbach / info_geometryLinks
Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
☆20Updated 4 years ago
Alternatives and similar repositories for info_geometry
Users that are interested in info_geometry are comparing it to the libraries listed below
Sorting:
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Updated 4 years ago
- ☆16Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆24Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆26Updated 4 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 5 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆14Updated 3 years ago
- ☆15Updated 5 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆21Updated last year
- ☆30Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆15Updated 4 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- ☆17Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- ☆33Updated last year
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Updated 4 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 3 years ago
- My Body Is A Cage☆41Updated 4 years ago
- MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957☆67Updated 4 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 3 years ago
- ☆14Updated 3 years ago
- ☆24Updated last year
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Updated 4 years ago
- ☆26Updated 2 years ago
- On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning☆16Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Updated 3 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆19Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆20Updated 3 years ago