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NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 3 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
ETS
2007
IEEE
95views Hardware» more  ETS 2007»
13 years 9 months ago
e-Lectures for Flexible Learning: a Study on their Learning Efficiency
Stavros N. Demetriadis, Andreas S. Pomportsis
ICML
2008
IEEE
14 years 9 months ago
Efficient bandit algorithms for online multiclass prediction
Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari
ATAL
2007
Springer
14 years 3 months ago
Reinforcement learning in extensive form games with incomplete information: the bargaining case study
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Ni...
AAAI
1998
13 years 10 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier