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145
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ICML
2010
IEEE
15 years 5 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov
146
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EVOW
2007
Springer
15 years 8 months ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
139
Voted
ICML
2002
IEEE
16 years 5 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
15 years 9 months ago
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
Kwong-Sak Leung, Yong Liang
AICCSA
2006
IEEE
86views Hardware» more  AICCSA 2006»
15 years 10 months ago
On the Optimal Deployment of Heterogeneous Sensing Devices
The problem of optimally deploying a heterogeneous set of sensing devices in environments with differential surveillance requirements is presented. The problem is formulated in th...
Rabie Ramadan, Khaled Abdelghany, Hesham El-Rewini