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MM
2004
ACM
165views Multimedia» more  MM 2004»
15 years 12 months ago
Minimal structures for stories
Our research on Interactive Drama aims at conciliating interaction and story at the deepest level, the level of action. From a given story representation formalism, a set of eleme...
Nicolas Szilas, Jean-Hugues Réty
EMNLP
2006
15 years 8 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
AIPS
2009
15 years 7 months ago
Minimal Sufficient Explanations for Factored Markov Decision Processes
Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MD...
Omar Zia Khan, Pascal Poupart, James P. Black
ML
2008
ACM
152views Machine Learning» more  ML 2008»
15 years 6 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
DATE
2009
IEEE
120views Hardware» more  DATE 2009»
16 years 1 months ago
Optimizing data flow graphs to minimize hardware implementation
Abstract - This paper describes an efficient graphbased method to optimize data-flow expressions for best hardware implementation. The method is based on factorization, common su...
Daniel Gomez-Prado, Q. Ren, Maciej J. Ciesielski, ...