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» Learning Simulation Control in General Game-Playing Agents
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ATAL
2003
Springer
15 years 2 months ago
Scenario description for multi-agent simulation
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-s...
Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Rei...
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
15 years 4 months ago
Constructing action set from basis functions for reinforcement learning of robot control
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawar...
ATAL
2011
Springer
13 years 9 months ago
Online anomaly detection in unmanned vehicles
Autonomy requires robustness. The use of unmanned (autonomous) vehicles is appealing for tasks which are dangerous or dull. However, increased reliance on autonomous robots increa...
Eliahu Khalastchi, Gal A. Kaminka, Meir Kalech, Ra...
IJVR
2008
140views more  IJVR 2008»
14 years 9 months ago
Modelling Autonomous Virtual Agent Behaviours in a Virtual Environment for Risk
Our research deals with the design of a training system to support decision-making in the preparation and the management of maintenance interventions in high-risk industries namely...
Lydie Edward, Domitile Lourdeaux, Jean-Paul A. Bar...
COGSCI
2007
87views more  COGSCI 2007»
14 years 9 months ago
Explaining Color Term Typology With an Evolutionary Model
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic ...
Mike Dowman