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SLP
1989
87views more  SLP 1989»
15 years 7 months ago
Partial Evaluation in Prolog: Some Improvements about Cut
Two main aspects of Partial Evaluation for Prolog programs are considered: treatment of cuts and control of recursion. The analysis about cut is exhaustive: we consider occurrence...
Michele Bugliesi, F. Russo
ECAI
2010
Springer
15 years 7 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
COR
2008
128views more  COR 2008»
15 years 6 months ago
Solving dynamic stochastic economic models by mathematical programming decomposition methods
Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic...
Mercedes Esteban-Bravo, Francisco J. Nogales
IJSNET
2006
145views more  IJSNET 2006»
15 years 6 months ago
RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks
:This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing sche...
Zhenzhen Liu, Itamar Elhanany
JFR
2006
77views more  JFR 2006»
15 years 6 months ago
Learning from examples in unstructured, outdoor environments
In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard...
Jie Sun, Tejas R. Mehta, David Wooden, Matthew Pow...