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183
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NIPS
2000
15 years 8 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
171
Voted
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
16 years 1 months 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...
189
Voted
ICRA
2005
IEEE
91views Robotics» more  ICRA 2005»
16 years 19 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
159
Voted
AAAI
2008
15 years 9 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 8 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