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ASM
2008
ASM
14 years 23 days ago
A First Attempt to Express KAOS Refinement Patterns with Event B
anguage (Event B), hence staying at the same abstraction level. Thus we take advantage from the Event B method: (i) it is possible to use the method during the whole development pr...
Abderrahman Matoussi, Frédéric Gerva...
AAMAS
1999
Springer
13 years 10 months ago
Fully Embodied Conversational Avatars: Making Communicative Behaviors Autonomous
: Although avatars may resemble communicative interface agents, they have for the most part not profited from recent research into autonomous embodied conversational systems. In pa...
Justine Cassell, Hannes Högni Vilhjálm...
AAAI
2006
14 years 5 days 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 12 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
ICML
2007
IEEE
14 years 11 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...