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IJCAI
2007
13 years 9 months ago
Reinforcement Learning of Local Shape in the Game of Go
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
David Silver, Richard S. Sutton, Martin Mülle...
PC
2007
123views Management» more  PC 2007»
13 years 7 months ago
MPI collective algorithm selection and quadtree encoding
Abstract. In this paper, we focus on MPI collective algorithm selection process and explore the applicability of the quadtree encoding method to this problem. During the algorithm ...
Jelena Pjesivac-Grbovic, George Bosilca, Graham E....
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
15 years 21 days ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
ALIFE
2007
13 years 7 months ago
Life Cycle of a Minimal Protocell - A Dissipative Particle Dynamics Study
Cross-reactions and other systematic difficulties generated by the coupling of functional chemical subsystems pose the largest challenge for assembling a viable protocell in the la...
Harold Fellermann, Steen Rasmussen, Hans-Joachim Z...
AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok