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CORR
2008
Springer
147views Education» more  CORR 2008»
13 years 7 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
IJCAI
2001
13 years 9 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
ICCAD
1997
IEEE
117views Hardware» more  ICCAD 1997»
13 years 12 months ago
Generalized matching from theory to application
This paper presents a novel approach for post-mapping optimization. We exploit the concept of generalized matching, a technique that nds symbolically all possible matching assignm...
Patrick Vuillod, Luca Benini, Giovanni De Micheli
TCAD
1998
126views more  TCAD 1998»
13 years 7 months ago
Iterative remapping for logic circuits
Abstract—This paper presents an aggressive optimization technique targeting combinational logic circuits. Starting from an initial implementation mapped on a given technology lib...
Luca Benini, Patrick Vuillod, Giovanni De Micheli
ISSS
2000
IEEE
109views Hardware» more  ISSS 2000»
13 years 11 months ago
FDRA: A Software-Pipelining Algorithm for Embedded VLIW Processors
The paper presents a novel software-pipelining algorithm suitable for optimizing compilers targeting embedded VLIW processors. The proposed algorithm is different from previous ap...
Cagdas Akturan, Margarida F. Jacome