jdchang1 / miloLinks
☆16Updated 4 years ago
Alternatives and similar repositories for milo
Users that are interested in milo are comparing it to the libraries listed below
Sorting:
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 4 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Updated 4 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Updated 4 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆26Updated 4 years ago
- ☆32Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Updated 4 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆28Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆18Updated 3 years ago
- ☆31Updated 2 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆68Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 4 years ago
- Reinforcement Learning via Supervised Learning☆72Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)☆22Updated 4 years ago
- ☆48Updated 2 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆13Updated 2 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆21Updated last year
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆36Updated 2 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆15Updated 5 years ago
- ☆17Updated 2 years ago
- ☆26Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- ☆54Updated last year
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 5 years ago