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...
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...
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...
: 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...
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 ...