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» Algorithms for Inverse Reinforcement Learning

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AUSAI
2005
Springer

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Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning

14 years 1 months ago

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: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...

Peter Vamplew, Robert Ollington

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IJCAI
2003

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Covariant Policy Search

13 years 9 months ago

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We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...

J. Andrew Bagnell, Jeff G. Schneider

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NIPS
1998

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Reinforcement Learning Based on On-Line EM Algorithm

13 years 9 months ago