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» Reinforcement Learning with Hierarchies of Machines

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AGI
2011

222views Artificial Intelligence» more AGI 2011»

Measuring Agent Intelligence via Hierarchies of Environments

12 years 8 months ago

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Under Legg’s and Hutter’s formal measure [1], performance in easy environments counts more toward an agent’s intelligence than does performance in difficult environments. An ...

Bill Hibbard

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SAC
2005
ACM

149views Applied Computing» more SAC 2005»

Reinforcement learning agents with primary knowledge designed by analytic hierarchy process

13 years 10 months ago

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This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...

Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...

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ICML
1998
IEEE

153views Machine Learning» more ICML 1998»

RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning

14 years 5 months ago

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This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...

Malcolm R. K. Ryan, Mark D. Pendrith

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ICML
2000
IEEE

147views Machine Learning» more ICML 2000»

Learning to Fly: An Application of Hierarchical Reinforcement Learning

14 years 5 months ago

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Malcolm R. K. Ryan, Mark D. Reid

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