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» Learning Rules for Adaptive Planning
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JAIR
2007
127views more  JAIR 2007»
13 years 7 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
WOA
2001
13 years 9 months ago
Implementing Adaptive Capabilities on Agents that Act in a Dynamic Environment
Acting in a dynamic environment is a complex task that requires several issues to be investigated, with the aim of controlling the associated search complexity. In this paper, a l...
Giuliano Armano, Giancarlo Cherchi, Eloisa Vargiu
ICML
1990
IEEE
13 years 11 months ago
Explanations of Empirically Derived Reactive Plans
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
Diana F. Gordon, John J. Grefenstette
FLAIRS
2001
13 years 9 months ago
Learning Plan Rewriting Rules
Muhammad Afzal Upal
ICALT
2006
IEEE
14 years 1 months ago
Highly Adaptive Learning for All - Vision and Plan
One of the major global problems is bringing learning to everyone on earth, at all ages. Current lockstep cookie-cuter approaches will not accomplish this, because students differ...
Alfred Bork