ElisevanderPol / mdp-homomorphic-networksLinks
☆29Updated 4 years ago
Alternatives and similar repositories for mdp-homomorphic-networks
Users that are interested in mdp-homomorphic-networks are comparing it to the libraries listed below
Sorting:
- ☆31Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 3 years ago
- Change-Based Exploration Transfer☆36Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- ☆53Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- ☆23Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 4 years ago
- My Body Is A Cage☆41Updated 4 years ago
- ☆45Updated 2 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆13Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 5 years ago
- ☆30Updated last year
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆18Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆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
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- ☆26Updated 2 years ago
- ☆47Updated 2 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago