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» Learning Obstacle Avoidance with an Operant Behavior Model
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NN
2002
Springer
136views Neural Networks» more  NN 2002»
13 years 6 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
HICSS
2005
IEEE
95views Biometrics» more  HICSS 2005»
14 years 11 days ago
Understanding the Effect of Risk Aversion on Risk
As we progress, society must intelligently address the following question: How much risk is acceptable? How we answer this question could have important consequences for the futur...
U. S. Bhatt, David E. Newman, Benjamin A. Carreras...
IJCAI
1997
13 years 8 months ago
Exploration and Adaptation in Multiagent Systems: A Model-based Approach
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
David Carmel, Shaul Markovitch
JIRS
2000
144views more  JIRS 2000»
13 years 6 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
ICRA
2003
IEEE
160views Robotics» more  ICRA 2003»
14 years 1 days ago
Adapting navigation strategies using motions patterns of people
— As people move through their environments, they do not move randomly. Instead, they are often engaged in typical motion patterns, related to specific locations they might be i...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun