#multi-task
8 notes
- Near-Optimal Representation Leanring for Hierarchical Reinforcement Learning
- Solving Compositional Reinforcement Learning Problems via Task Reduction
- Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
- Multi-Task Learning with Sequence-Conditioned Transporter Networks
- Multi-Task Reinforcement Learning with Soft Modularization
- Modular Multitask Reinforcement Learning with Policy Sketches
- Meta Reinforcement Learning with Aotonomous Inference of Subtask Dependencies
- Hierarchical Reinforcement Learning for Zero-shot generalization with Subtask Dependencies