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111
Voted
ASM
2008
ASM
15 years 2 months ago
2008
ASM
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...
134
Voted
AAMAS
1999
Springer
15 years 10 days ago
1999
Springer
: 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...
120
Voted
AAAI
2006
15 years 2 months ago
2006
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...
120
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
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 ...
129
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
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...