51 citations · 51 across the 1 of their papers we have counts for
3 papers
cs.CL2003★ 51 cited
Bayesian Information Extraction Network
Leonid Peshkin, Avi Pfeffer
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs a…
cs.AI2002
Learning from Scarce Experience
Leonid Peshkin, Christian R. Shelton
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each c…
cs.LG2001
Learning Policies with External Memory
Leonid Peshkin, Nicolas Meuleau, Leslie Kaelbling
In order for an agent to perform well in partially observable domains, it is usually necessary for actions to depend on the history of observations. In this paper, we explore a {\i…