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AI
1998
Springer
13 years 4 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
INFORMATICALT
2002
150views more  INFORMATICALT 2002»
13 years 4 months ago
Search for Dynamic Equilibrium in Duel Problems by Global Optimization
Two examples of open-loop differential games are considered in the paper. Starting with simplified dynamic Duel, further it was developed to differential economic Duel modelling pr...
Raimundas Matulevicius
IJMMS
1998
153views more  IJMMS 1998»
13 years 4 months ago
Brahms: simulating practice for work systems design
A continuing problem in business today is the design of human-computer systems that respect how work actually gets done. The overarching context of work consists of activities, wh...
William J. Clancey, Patricia Sachs, Maarten Sierhu...
KI
2010
Springer
13 years 2 months ago
A Testbed for Adaptive Human-Robot Collaboration
Abstract. This paper presents a novel method for developing and evaluating intelligent robot behavior for joint human-robot activities. We extended a physical simulation of an auto...
Alexandra Kirsch, Yuxiang Chen
FOMI
2009
13 years 2 months ago
Do you still want to vote for your favorite politician? Ask Ontobella!
Abstract. The paper presents the preliminary version of Ontobella - a domain ontology of beliefs. The philosophical assumptions of this system are taken from the philosophy of Roma...
Pawel Garbacz, Marek Lechniak, Piotr Kulicki, Robe...