2 papers
math.OC2023
Beyond first-order methods for non-convex non-concave min-max optimization
Abhijeet Vyas, Brian Bullins
We propose a study of structured non-convex non-concave min-max problems which goes beyond standard first-order approaches. Inspired by the tight understanding established in recen…
cs.LG2023
Variance-Reduced Conservative Policy Iteration
Naman Agarwal, Brian Bullins, Karan Singh
We study the sample complexity of reducing reinforcement learning to a sequence of empirical risk minimization problems over the policy space. Such reductions-based algorithms exhi…