Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Abstract— This paper presents a post-route, timingconstrained gate-sizing algorithm for crosstalk reduction. Gate-sizing has emerged as a practical and feasible method to reduce ...
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
Multimodal image registration is a fundamental problem in medical image analysis. In this paper, we propose a novel algorithm to compute the local frequency representations of the...
We present an online algorithm for planning sequences of footstep locations that encode goal-directed navigation strategies for humanoid robots. Planning footsteps is more general...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...