53 citations · 177 across the 34 of their papers we have counts for
4 papers · 1 filter
Reinforcement Learning with Action-Triggered Observations
Alexander Ryabchenko, Wenlong Mou
We introduce Action-Triggered Sporadically Traceable Markov Decision Processes (ATST-MDPs), a reinforcement learning framework for partial observability in which full state observa…
Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
Rui Zhang, Wenlong Mou
In federated learning, communication cost can be significantly reduced by transmitting the information over the air through physical channels. In this paper, we propose a new class…
Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models
Wenlong Mou
We study the problem of learning the optimal control policy for fine-tuning a given diffusion process, using general value function approximation. We develop a new class of algorit…
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs
Wenlong Mou
We study the estimation of the value function for continuous-time Markov diffusion processes using a single, discretely observed ergodic trajectory. Our work provides non-asymptoti…