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AAAI
2008
15 years 8 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
ICRA
2010
IEEE
225views Robotics» more  ICRA 2010»
15 years 4 months ago
3D reconstruction of fish schooling kinematics from underwater video
This paper describes a probabilistic framework to estimate the shape and position of multiple fish in a school. We model the fish shape as an ellipsoid with a curvature coefficient...
Sachit Butail, Derek A. Paley
ICONIP
2004
15 years 7 months ago
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
Ricardo Matsumura de Araújo, Luís C....
IJMMS
1998
111views more  IJMMS 1998»
15 years 5 months ago
Formulating the cognitive design problem of air traffic management
s the abstracted cognitive behaviours of the controllers and their tools in performingw the traffic management task. Taken together, the models provide a statement of worksystem pe...
John Dowell
ICCS
2005
Springer
15 years 11 months ago
GIVS: Integrity Validation for Grid Security
Abstract. In this paper we address the problem of granting the correctness of Grid computations. We introduce a Grid Integrity Validation Scheme (GIVS) that may reveal the presence...
Giuliano Casale, Stefano Zanero