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AROBOTS
1999
104views more  AROBOTS 1999»
15 years 6 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
PC
2002
82views Management» more  PC 2002»
15 years 6 months ago
Time-minimal tiling when rise is larger than zero
This paper presents a solution to the open problem of finding the optimal tile size to minimise the execution time of a parallelogram-shaped iteration space on a distributed memory...
Jingling Xue, Wentong Cai
SIAMJO
2002
124views more  SIAMJO 2002»
15 years 6 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
SOFTWARE
2002
15 years 6 months ago
Usage-Centered Engineering for Web Applications
: This paper presents a lightweight form of usage-centered design that has proved particularly effective in designing highly usable Webbased applications. Fully compatible with bot...
Larry L. Constantine, Lucy A. D. Lockwood
TVLSI
2002
98views more  TVLSI 2002»
15 years 6 months ago
Minimizing memory access energy in embedded systems by selective instruction compression
We propose a technique for reducing the energy spent in the memory-processor interface of an embedded system during the execution of firmware code. The method is based on the idea ...
Luca Benini, Alberto Macii, Enrico Macii, Massimo ...
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