2022
Thompson Sampling Efficiently Learns to Control Diffusion Processes
NeurIPS 2022accept
Diffusion processes that evolve according to linear stochastic differential equations are an important family of continuous-time dynamic decision-making models. Optimal policies are well-studied for them, under full certainty about the drift matrices. However, little is known about data-driven contr…