Reinforcement Learning

A Prospect-Theoretic Policy Gradient Algorithm for Behavioral Alignment in Reinforcement Learning

Towards Scalable General Utility Reinforcement Learning: Occupancy Approximation, Sample Complexity and Global Optimality

Policy Mirror Descent with Lookahead

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space

Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies

Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation