Peihong Yu

On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning

Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches

On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning

Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning