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94
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GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
15 years 7 months ago
Integration of Genetic Programming and Reinforcement Learning for Real Robots
Shotaro Kamio, Hideyuki Mitsuhasi, Hitoshi Iba
COLT
2008
Springer
15 years 3 months ago
Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...
Jacob Abernethy, Elad Hazan, Alexander Rakhlin
123
Voted
ICML
1996
IEEE
16 years 2 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
106
Voted
DIGITEL
2008
IEEE
15 years 8 months ago
Using Humanoid Robots as Instructional Media in Elementary Language Education
As robot technologies have developed rapidly, many researchers have tried to use robots to support education. Studies have shown that robots can help students develop problem-solv...
Gwo-Dong Chen, Chih-Wei Chang