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ICML
1994
IEEE
15 years 10 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
COOP
2004
15 years 8 months ago
A decision support framework for cooperation in make-to-order production
This paper proposes a method which assists the firms for cooperating in make-to-order production. We especially focus on the operational decision levels of manufacturing companies ...
Emmanuelle Monsarrat, Cyril Briand, Patrick Esquir...
FLAIRS
2008
15 years 7 months ago
A Framework for Evaluating Semantic Knowledge in Problem-Solving-Based Intelligent Tutoring Systems
We describe a framework for building intelligent tutoring systems that offer an advanced evaluation of learners' semantic knowledge. The knowledge model makes a pedagogical d...
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...
ENTCS
2006
125views more  ENTCS 2006»
15 years 6 months ago
Hoare vs Milner: Comparing Synchronizations in a Graphical Framework With Mobility
We compare the expressive power of Hoare (i.e., CSP style) and Milner (i.e., CCS style) synchronizations for defining graph transformations in a framework where edges can perform ...
Ivan Lanese, Ugo Montanari
ICCAD
2009
IEEE
98views Hardware» more  ICCAD 2009»
15 years 4 months ago
A rigorous framework for convergent net weighting schemes in timing-driven placement
We present a rigorous framework that defines a class of net weighting schemes in which unconstrained minimization is successively performed on a weighted objective. We show that, ...
Tony F. Chan, Jason Cong, Eric Radke