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AAAI
2006
14 years 11 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
14 years 10 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
14 years 8 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
KES
2010
Springer
14 years 8 months ago
SceneMaker: Multimodal Visualisation of Natural Language Film Scripts
Abstract. Producing plays, films or animations is a complex and expensive process involving various professionals and media. Our proposed software system, SceneMaker, aims to faci...
Eva Hanser, Paul McKevitt, Tom Lunney, Joan Condel...
ATAL
2009
Springer
15 years 4 months ago
Caching schemes for DCOP search algorithms
Distributed Constraint Optimization (DCOP) is useful for solving agent-coordination problems. Any-space DCOP search algorithms require only a small amount of memory but can be spe...
William Yeoh, Pradeep Varakantham, Sven Koenig