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» Modeling Complex Domains of Actions and Change
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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 3 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ICSOC
2009
Springer
13 years 7 months ago
Integrating Complex Events for Collaborating and Dynamically Changing Business Processes
Business processes must become agile, respond to changes in the business environment in a timely manner and quickly adapt themselves to new conditions. Event-Driven Business Proces...
Rainer von Ammon, Thomas Ertlmaier, Opher Etzion, ...
IRI
2008
IEEE
14 years 4 months ago
An algorithm for activation timed influence nets
Activation Timed Influence Net (ATIN) is a term representing a progressively evolving sequence of actions, where the effects of an action become the preconditions of the action th...
Panayota Papantoni-Kazakos, Abbas K. Zaidi, M. Far...
AI
2004
Springer
13 years 9 months ago
Elaboration tolerance through object-orientation
Although many formalisms for reasoning about action and change have been proposed in the literature, any concrete examples provided in such articles have primarily consisted of ti...
Joakim Gustafsson, Jonas Kvarnström
FUIN
2007
130views more  FUIN 2007»
13 years 9 months ago
A Logic-Based Approach to Finding Explanations for Discrepancies in Optimistic Plan Execution
Abstract. Consider an agent executing a plan with nondeterministic actions, in a dynamic environment, which might fail. Suppose that she is given a description of this action domai...
Thomas Eiter, Esra Erdem, Wolfgang Faber, Já...