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» Prediction Horizons in Agent Models
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AAAI
2007
13 years 9 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson
IROS
2006
IEEE
217views Robotics» more  IROS 2006»
14 years 1 months ago
Active SLAM using Model Predictive Control and Attractor based Exploration
– Active SLAM poses the challenge for an autonomous robot to plan efficient paths simultaneous to the SLAM process. The uncertainties of the robot, map and sensor measurements, a...
Cindy Leung, Shoudong Huang, Gamini Dissanayake
AIPS
2006
13 years 8 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
AUTOMATICA
2006
74views more  AUTOMATICA 2006»
13 years 7 months ago
Distributed receding horizon control for multi-vehicle formation stabilization
We consider the control of interacting subsystems whose dynamics and constraints are decoupled, but whose state vectors are coupled non-separably in a single cost function of a fi...
William B. Dunbar, Richard M. Murray
IJCAI
1989
13 years 8 months ago
A Model for Projection and Action
In designing autonomous agents that deal competently with issues involving time and space, there is a tradeoff to be made between guaranteed response-time reactions on the one han...
Keiji Kanazawa, Thomas Dean