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CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
14 years 2 months ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 2 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
CODES
2001
IEEE
14 years 1 months ago
A design framework to efficiently explore energy-delay tradeoffs
Comprehensive exploration of the design space parameters at the system-level is a crucial task to evaluate architectural tradeoffs accounting for both energy and performance const...
William Fornaciari, Donatella Sciuto, Cristina Sil...
IMECS
2007
13 years 11 months ago
A Common Subexpression Sharing Approach for Multiplierless Synthesis of Multiple Constant Multiplications
—In the context of multiple constant multiplications (MCM) design, we propose a novel common-subexpression-elimination (CSE) algorithm that models synthesis of coefficients into ...
Yuen-Hong Alvin Ho, Chi-Un Lei, Ngai Wong
ICML
2009
IEEE
14 years 10 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint