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AAAI
2006
13 years 9 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
ATAL
2010
Springer
13 years 8 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ATAL
2010
Springer
13 years 6 months ago
On events in multi-robot patrol in adversarial environments
The problem of multi-robot patrol in adversarial environments has been gaining considerable interest during the recent years.In this problem, a team of mobile robots is required t...
Noa Agmon
ICRA
2006
IEEE
225views Robotics» more  ICRA 2006»
14 years 1 months ago
Constraint Optimization Coordination Architecture for Search and Rescue Robotics
— The dangerous and time sensitive nature of a disaster area makes it an ideal application for robotic exploration. Our long term goal is to enable humans, software agents, and a...
Mary Koes, Illah R. Nourbakhsh, Katia P. Sycara
RTAS
2005
IEEE
14 years 1 months ago
Convoy Driving through Ad-Hoc Coalition Formation
— Convoy driving on public highways is a useful phenomena which increases the safety and the throughput of the highway. We present an approach through which a wireless Convoy Dri...
Majid Ali Khan, Ladislau Bölöni