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ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
14 years 10 months ago
A game-theoretic procedure for learning hierarchically structured strategies
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
Benjamin Rosman, Subramanian Ramamoorthy
97
Voted
AAAI
2011
13 years 12 months ago
Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty
Attacker-defender Stackelberg games have become a popular game-theoretic approach for security with deployments for LAX Police, the FAMS and the TSA. Unfortunately, most of the ex...
Zhengyu Yin, Manish Jain, Milind Tambe, Fernando O...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 5 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
15 years 29 days ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
ICTAI
2007
IEEE
15 years 6 months ago
Multi-agent Reinforcement Learning Using Strategies and Voting
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...