4 papers
Learning under Opponent Unawareness in Linear-Quadratic Stochastic Games
Dantong Chu, Xuefeng Gao, Yufei Zhang
As firms increasingly deploy machine learning for strategic decision-making, understanding algorithmic interactions has become central to operations research and economics. This pa…
Expressivity and Statistical Trade-offs in Diffusion Policy Learning
Viet Vu, Renyuan Xu, Jiacheng Zhang +1
Diffusion-based policies have recently emerged as powerful policy parameterizations for reinforcement learning, representing state-conditioned action distributions as terminal laws…
Convergence Rates of Time Discretization in Extended Mean Field Control
Christoph Reisinger, Wolfgang Stockinger, Maria Olympia Tsianni +1
Piecewise constant control approximation provides a practical framework for designing numerical schemes of continuous-time control problems. We analyze the accuracy of such approxi…
Efficient Learning for Entropy-Regularized Markov Decision Processes via Multilevel Monte Carlo
Matthieu Meunier, Christoph Reisinger, Yufei Zhang
Designing efficient learning algorithms with complexity guarantees for Markov decision processes (MDPs) with large or continuous state and action spaces remains a fundamental chall…