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Apprenticeship Learning via Inverse Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA Abstract
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Document Date: 2004-05-04 19:26:28


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Banff / /

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Princeton University Press / Russell / Suzuki / John Wiley & Sons / /

Country

Canada / /

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Facility

Stanford University / /

IndustryTerm

control algorithms / apprenticeship learning algorithm / reinforcement learning algorithm / nearest car length / neural network / reinforcement learning algorithms / supervised learning algorithm / closest car / Car driving simulation / max-margin algorithm / nearest car / projection algorithm / simpler algorithm / /

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Inverse Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department / Stanford University / Princeton University / Department of the Interior / /

Person

Pieter Abbeel Andrew / Andrew Y. Ng / /

Position

agent designer / teacher / Prime Minister / learned controller for the more interesting features / robot controller / /

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Uno / /

ProvinceOrState

California / /

PublishedMedium

Machine Learning / /

SportsLeague

Stanford University / /

Technology

Neuroscience / neural network / control algorithms / projection algorithm / simpler algorithm The algorithm / supervised learning algorithm / alternative apprenticeship learning algorithm / RL algorithms / max-margin algorithm / Machine Learning / simulation / reinforcement learning algorithm / RL algorithm / two algorithms / apprenticeship learning algorithm / applying reinforcement learning algorithms / /

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