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ATAL
2007
Springer
14 years 2 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
AAAI
2010
13 years 9 months ago
A Belief Revision Framework for Revising Epistemic States with Partial Epistemic States
Belief revision performs belief change on an agent's beliefs when new evidence (either of the form of a propositional formula or of the form of a total pre-order on a set of ...
Jianbing Ma, Weiru Liu, Salem Benferhat
GI
2007
Springer
14 years 2 months ago
A Discrete Event Simulation Framework for Agent-Based Modelling of Logistic Systems
: Agent-based simulation can be viewed as methodical advancement and generalization of microscopic modelling styles in object-oriented and discrete event simulation well suited for...
Bernd Page, Nicolas Knaak, A. Kruse
FLAIRS
2006
13 years 9 months ago
Refining Human Behavior Models in a Context-based Architecture
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
David Aihe, Avelino J. Gonzalez
ATAL
2006
Springer
13 years 12 months ago
Learning empathy: a data-driven framework for modeling empathetic companion agents
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Scott W. McQuiggan, James C. Lester