reinforcement learning techniques

42

WSC
2007

166views Modeling And Simulation» more WSC 2007»

Optimizing time warp simulation with reinforcement learning techniques

13 years 11 months ago

Adaptive Time Warp protocols in the literature are usually based on a pre-deﬁned analytic model of the system, expressed as a closed form function that maps system state to cont...

Jun Wang, Carl Tropper

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37

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AI
2006
Springer

119views Artificial Intelligence» more AI 2006»

Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem

14 years 1 months ago

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Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...

Julien Laumonier, Brahim Chaib-draa

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31

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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 10 months ago

Download reference.kfupm.edu.sa

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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