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» Reinforcement Learning Estimation of Distribution Algorithm
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GECCO
2003
Springer
13 years 10 months ago
Reinforcement Learning Estimation of Distribution Algorithm
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
Topon Kumar Paul, Hitoshi Iba
ATAL
2007
Springer
13 years 9 months ago
A reinforcement learning based distributed search algorithm for hierarchical peer-to-peer information retrieval systems
The dominant existing routing strategies employed in peerto-peer(P2P) based information retrieval(IR) systems are similarity-based approaches. In these approaches, agents depend o...
Haizheng Zhang, Victor R. Lesser
JMLR
2010
125views more  JMLR 2010»
12 years 11 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
ICML
2010
IEEE
13 years 6 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
13 years 11 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano