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» Hierarchical Memory-Based Reinforcement Learning

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PRICAI
2000
Springer

193views Artificial Intelligence» more PRICAI 2000»

Generating Hierarchical Structure in Reinforcement Learning from State Variables

13 years 11 months ago

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This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...

Bernhard Hengst

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FLAIRS
2004

140views Artificial Intelligence» more FLAIRS 2004»

State Space Reduction For Hierarchical Reinforcement Learning

13 years 9 months ago

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er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...

Mehran Asadi, Manfred Huber

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ATAL
2007
Springer

147views Intelligent Agents» more ATAL 2007»

A reinforcement learning based distributed search algorithm for hierarchical peer-to-peer information retrieval systems

13 years 11 months ago

Download www.haizhengzhang.com

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

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AUSAI
2007
Springer

97views Artificial Intelligence» more AUSAI 2007»

Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning

14 years 1 months ago

Download www.cse.unsw.edu.au

Bernhard Hengst

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