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NIPS
2000
15 years 7 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
16 years 24 days ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
ICRA
2005
IEEE
91views Robotics» more  ICRA 2005»
16 years 3 days ago
Learning to Steer on Winding Tracks Using Semi-Parametric Control Policies
— We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
Kenneth Robert Alton, Michiel van de Panne
AAAI
2008
15 years 8 months ago
Coordination and Multi-Tasking Using EMT
We introduce a multi-model variant of the EMT-based control algorithm. The new algorithm, MM-EMT, is capable of balancing several control tasks expressed using separate dynamic mo...
Zinovi Rabinovich, Nir Pochter, Jeffrey S. Rosensc...
ICPR
2004
IEEE
16 years 7 months ago
Shooting the Lecture Scene Using Computer-controlled Cameras Based on Situation Understanding and Evaluation of Video Images
In this paper, we propose a computer-controlled camera work that shoots object scenes to model the professional cameramen's work and selects the best image among plural video...
Masaki Onishi, Kunio Fukunaga