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AIPS
2011
14 years 10 months ago
Searching for Plans with Carefully Designed Probes
We define a probe to be a single action sequence computed greedily from a given state that either terminates in the goal or fails. We show that by designing these probes carefull...
Nir Lipovetzky, Hector Geffner
SODA
2010
ACM
371views Algorithms» more  SODA 2010»
16 years 4 months ago
Online Learning with Queries
The online learning problem requires a player to iteratively choose an action in an unknown and changing environment. In the standard setting of this problem, the player has to ch...
Chao-Kai Chiang, Chi-Jen Lu
IAT
2007
IEEE
16 years 1 months ago
Formalizing Practical Reasoning Under Uncertainty: An Argumentation-Based Approach
Practical reasoning (PR), as advocated by philosophers is concerned by reasoning about what agents should do. It follows mainly two steps. A deliberation one for identifying the g...
Leila Amgoud, Henri Prade
ATAL
2006
Springer
15 years 10 months ago
Learning to commit in repeated games
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
Stéphane Airiau, Sandip Sen
AIPS
2010
15 years 9 months ago
Shopper: A System for Executing and Simulating Expressive Plans
We present Shopper, a plan execution engine that facilitates experimental evaluation of plans and makes it easier for planning researchers to incorporate replanning. Shopper inter...
Robert P. Goldman, John Maraist