zchuning / latcoLinks
Model-Based Reinforcement Learning via Latent-Space Collocation.
☆33Updated 2 years ago
Alternatives and similar repositories for latco
Users that are interested in latco are comparing it to the libraries listed below
Sorting:
- My Body Is A Cage☆41Updated 4 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆26Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 3 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- ☆43Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆33Updated 4 years ago
- ☆32Updated 10 months ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆17Updated 3 years ago
- ☆14Updated 3 years ago
- Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)☆20Updated 3 years ago
- Change-Based Exploration Transfer☆36Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- ☆23Updated 3 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 3 years ago
- ☆22Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆71Updated 11 months ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆26Updated last year
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year