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» Simplifying the Development of Intelligent Agents
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ATAL
2009
Springer
14 years 3 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
ATAL
2005
Springer
14 years 2 months ago
Modeling exceptions via commitment protocols
This paper develops a model for exceptions and an approach for incorporating them in commitment protocols among autonomous agents. Modeling and handling exceptions is critical for...
Ashok U. Mallya, Munindar P. Singh
ATAL
2010
Springer
13 years 10 months ago
Preference elicitation for risky prospects
Minimax-regret preference elicitation allows intelligent decisions to be made on behalf of people facing risky choices. Standard gamble queries, a vital tool in this type of prefe...
Greg Hines, Kate Larson
ATAL
2011
Springer
12 years 8 months ago
A double oracle algorithm for zero-sum security games on graphs
In response to the Mumbai attacks of 2008, the Mumbai police have started to schedule a limited number of inspection checkpoints on the road network throughout the city. Algorithm...
Manish Jain, Dmytro Korzhyk, Ondrej Vanek, Vincent...
VSTTE
2005
Springer
14 years 2 months ago
Verifying Design with Proof Scores
: Verifying design instead of code can be an effective and practical approach to obtaining verified software. This paper argues that proof scores are an attractive method for ver...
Kokichi Futatsugi, Joseph A. Goguen, Kazuhiro Ogat...