2 papers
stat.ME2026
Prediction-powered inference for time series across space
Shahzar Rizvi, David Burt, Vishwak Srinivasan +3
The following motif is common in spatiotemporal settings: we have a sequence of covariate and label pairs observed for a relatively short, recent time period. We have access to unl…
cs.LG2022
Reward-Free Policy Space Compression for Reinforcement Learning
Mirco Mutti, Stefano Del Col, Marcello Restelli
In reinforcement learning, we encode the potential behaviors of an agent interacting with an environment into an infinite set of policies, the policy space, typically represented b…