117 citations · 207 across the 3 of their papers we have counts for
3 papers
cs.AI2012★ 68 cited
Inductive Policy Selection for First-Order MDPs
Sung Wook Yoon, Alan Fern, Robert Givan
We select policies for large Markov Decision Processes (MDPs) with compact first-order representations. We find policies that generalize well as the number of objects in the domain…
cs.AI2011★ 117 cited
Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes
A. Fern, R. Givan, S. Yoon
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual…
cs.AI2010★ 22 cited
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
Nan Li, William Cushing, Subbarao Kambhampati +1
We propose automatically learning probabilistic Hierarchical Task Networks (pHTNs) in order to capture a user's preferences on plans, by observing only the user's behavior. HTNs ar…