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CGF
2007
127views more  CGF 2007»
15 years 6 months ago
Crowds by Example
We present an example-based crowd simulation technique. Most crowd simulation techniques assume that the behavior exhibited by each person in the crowd can be defined by a restri...
Alon Lerner, Yiorgos Chrysanthou, Dani Lischinski
AAAI
2007
15 years 8 months ago
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
CP
2008
Springer
15 years 8 months ago
Guiding Search in QCSP+ with Back-Propagation
The Quantified Constraint Satisfaction Problem (QCSP) has been introduced to express situations in which we are not able to control the value of some of the variables (the universa...
Guillaume Verger, Christian Bessiere
ICRA
2003
IEEE
125views Robotics» more  ICRA 2003»
15 years 11 months ago
Online footstep planning for humanoid robots
We present an online algorithm for planning sequences of footstep locations that encode goal-directed navigation strategies for humanoid robots. Planning footsteps is more general...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
ROBOCUP
1998
Springer
156views Robotics» more  ROBOCUP 1998»
15 years 10 months ago
Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...
Eiji Uchibe, Masateru Nakamura, Minoru Asada