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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
15 years 8 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...
SAGA
2009
Springer
15 years 8 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
AAAI
1996
15 years 2 months ago
Incorporating Opponent Models into Adversary Search
This work presents a generalized theoretical framework that allows incorporation of opponent models into adversary search. We present the M algorithm, a generalization of minimax ...
David Carmel, Shaul Markovitch
DAC
1998
ACM
15 years 5 months ago
OCCOM: Efficient Computation of Observability-Based Code Coverage Metrics for Functional Verification
—Functional simulation is still the primary workhorse for verifying the functional correctness of hardware designs. Functional verification is necessarily incomplete because it i...
Farzan Fallah, Srinivas Devadas, Kurt Keutzer
ISPASS
2009
IEEE
15 years 8 months ago
Accurately approximating superscalar processor performance from traces
Trace-driven simulation of superscalar processors is particularly complicated. The dynamic nature of superscalar processors combined with the static nature of traces can lead to l...
Kiyeon Lee, Shayne Evans, Sangyeun Cho