Yuan Zhou

Interpretable Reinforcement Learning with Self-Abstraction and Refinement

ReSIP: Reinforcement Learning with Symbolic Inductive Planning for Interpretable and Generalizable Pixel-Based Control

Continual Learning via Continual Weighted Sparsity and Meta-Plasticity Scheduling

Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits

Safety-Polarized and Prioritized Reinforcement Learning

Continual Learning via Continual Weighted Sparsity and Meta-Plasticity Scheduling

From Skills to Plans: Automatic Skill Discovery and Symbolic Interpretation for Compositional Tasks