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ATAL
2009
Springer
15 years 6 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
TOG
2010
118views more  TOG 2010»
14 years 6 months ago
A hierarchical volumetric shadow algorithm for single scattering
Volumetric effects such as beams of light through participating media are an important component in the appearance of the natural world. Many such effects can be faithfully modele...
Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Fr...
JMLR
2008
188views more  JMLR 2008»
14 years 11 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
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ATAL
2008
Springer
15 years 1 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
DSN
2009
IEEE
14 years 9 months ago
RRE: A game-theoretic intrusion Response and Recovery Engine
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
Saman A. Zonouz, Himanshu Khurana, William H. Sand...