Alfredo García

Regularized Q-Learning with Linear Function Approximation

2024 · arXiv (Cornell University)

Regularized Markov Decision Processes serve as models of sequential decision making under uncertainty wherein the decision maker has limited information processing capacity and/or aversion to model ambiguity. With functional approximation, the convergence properties of learning …