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188
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ENGL
2007
136views more  ENGL 2007»
15 years 6 months ago
Multilayered Evolutionary Architecture for Behaviour Arbitration in Cognitive Agents
— In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architectur...
Oscar Javier Romero López
NN
2007
Springer
105views Neural Networks» more  NN 2007»
15 years 5 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
230
Voted
CORR
2012
Springer
216views Education» more  CORR 2012»
14 years 1 months ago
Fractional Moments on Bandit Problems
Reinforcement learning addresses the dilemma between exploration to find profitable actions and exploitation to act according to the best observations already made. Bandit proble...
Ananda Narayanan B., Balaraman Ravindran
IROS
2009
IEEE
123views Robotics» more  IROS 2009»
16 years 24 days ago
Planning-based prediction for pedestrians
— We present a novel approach for determining robot movements that efficiently accomplish the robot’s tasks while not hindering the movements of people within the environment....
Brian Ziebart, Nathan D. Ratliff, Garratt Gallaghe...
MLMI
2004
Springer
15 years 11 months ago
Accessing Multimodal Meeting Data: Systems, Problems and Possibilities
As the amount of multimodal meetings data being recorded increases, so does the need for sophisticated mechanisms for accessing this data. This process is complicated by the diffe...
Simon Tucker, Steve Whittaker