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» Evaluating learning algorithms and classifiers
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ICS
2004
Tsinghua U.
15 years 5 months ago
Inter-reference gap distribution replacement: an improved replacement algorithm for set-associative caches
We propose a novel replacement algorithm, called InterReference Gap Distribution Replacement (IGDR), for setassociative secondary caches of processors. IGDR attaches a weight to e...
Masamichi Takagi, Kei Hiraki
85
Voted
AIIDE
2009
15 years 1 months ago
Learning Character Behaviors Using Agent Modeling in Games
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
Richard Zhao, Duane Szafron
ICML
2006
IEEE
16 years 1 months ago
Using inaccurate models in reinforcement learning
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Pieter Abbeel, Morgan Quigley, Andrew Y. Ng
SENSYS
2003
ACM
15 years 5 months ago
Minimal and maximal exposure path algorithms for wireless embedded sensor networks
Sensor networks not only have the potential to change the way we use, interact with, and view computers, but also the way we use, interact with, and view the world around us. In o...
Giacomino Veltri, Qingfeng Huang, Gang Qu, Miodrag...
96
Voted
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 4 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...