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36

ATAL
2010
Springer

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Improving the performance of complex agent plans through reinforcement learning

14 years 11 months ago

Improving the performance of complex agent plans through reinforcement learning

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Matteo Leonetti, Luca Iocchi

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53

AAMAS
2005
Springer

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SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report

14 years 9 months ago

SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report

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Christopher Child, Kostas Stathis

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38

AAMAS
2002
Springer

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Using Landscape Theory to Measure Learning Difficulty for Adaptive Agents

14 years 9 months ago

Using Landscape Theory to Measure Learning Difficulty for Adaptive Agents

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Christopher H. Brooks, Edmund H. Durfee

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47

ATAL
2010
Springer

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Self-organisation in an agent network via learning

14 years 4 months ago

Self-organisation in an agent network via learning

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Dayong Ye, Minjie Zhang, Danny Sutanto

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89

IJCAI
2001

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R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning

14 years 11 months ago

R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning

Download jmlr.csail.mit.edu

R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...

Ronen I. Brafman, Moshe Tennenholtz

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