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113
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AAAI
2010
15 years 5 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
124
Voted
IWEC
2004
15 years 5 months ago
New Behavioural Approaches for Virtual Environments
We describe a new approach to the behaviour of 3D environments that supports the definition of physical processes and interactive phenomena. The work takes as a starting point the ...
Marc Cavazza, Simon Hartley, Jean-Luc Lugrin, Paol...
128
Voted
VMV
2003
151views Visualization» more  VMV 2003»
15 years 5 months ago
Optimized Spatial Hashing for Collision Detection of Deformable Objects
We propose a new approach to collision and self– collision detection of dynamically deforming objects that consist of tetrahedrons. Tetrahedral meshes are commonly used to repre...
Matthias Teschner, Bruno Heidelberger, Matthias M&...
119
Voted
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 4 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
122
Voted
CGF
2008
139views more  CGF 2008»
15 years 3 months ago
CHC++: Coherent Hierarchical Culling Revisited
We present a new algorithm for efficient occlusion culling using hardware occlusion queries. The algorithm significantly improves on previous techniques by making better use of te...
Oliver Mattausch, Jirí Bittner, Michael Wim...