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160
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ICRA
2005
IEEE
139views Robotics» more  ICRA 2005»
15 years 10 months ago
Attitude Estimation for Dynamic Legged Locomotion Using Range and Inertial Sensors
— Legged robots offer exceptional mobility in uncharted terrains. Their dynamic nature yields unrivaled mobility, but serves to destabilize the motion estimation process that und...
Surya P. N. Singh, Kenneth J. Waldron
JMLR
2010
140views more  JMLR 2010»
14 years 11 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
ICML
1996
IEEE
16 years 5 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
130
Voted
CP
2009
Springer
15 years 11 months ago
Exploiting Problem Decomposition in Multi-objective Constraint Optimization
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
Radu Marinescu
162
Voted
DATE
1999
IEEE
118views Hardware» more  DATE 1999»
15 years 9 months ago
Peak Power Estimation Using Genetic Spot Optimization for Large VLSI Circuits
Estimating peak power involves optimization of the circuit's switching function. We propose genetic spot expansion and optimization in this paper to estimate tight peak power...
Michael S. Hsiao