57 citations · 120 across the 7 of their papers we have counts for
7 papers
Extrapolation in Gridworld Markov-Decision Processes
Eugene Charniak
Extrapolation in reinforcement learning is the ability to generalize at test time given states that could never have occurred at training time. Here we consider four factors that l…
Plan Recognition in Stories and in Life
Eugene Charniak, Robert P. Goldman
Plan recognition does not work the same way in stories and in "real life" (people tend to jump to conclusions more in stories). We present a theory of this, for the particular case…
A New Algorithm for Finding MAP Assignments to Belief Networks
Solomon Eyal Shimony, Eugene Charniak
We present a new algorithm for finding maximum a-posterior) (MAP) assignments of values to belief networks. The belief network is compiled into a network consisting only of nodes w…
Dynamic Construction of Belief Networks
Robert P. Goldman, Eugene Charniak
We describe a method for incrementally constructing belief networks. We have developed a network-construction language similar to a forward-chaining language using data dependencie…
A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition
Glenn Carroll, Eugene Charniak
Useless paths are a chronic problem for marker-passing techniques. We use a probabilistic analysis to justify a method for quickly identifying and rejecting useless paths. Using th…
Measuring efficiency in high-accuracy, broad-coverage statistical parsing
Brian Roark, Eugene Charniak
Very little attention has been paid to the comparison of efficiency between high accuracy statistical parsers. This paper proposes one machine-independent metric that is general en…