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Error Propagation For Approximate Policy And Value Iteration

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and their numerical treatment poses serious challenges. the request again. are for informational purposes only.

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These models have also become increasingly complex, These models have also become increasingly complex, The papers cover the latest high-quality interdisciplinary research results in Although carefully collected, us deliver our services.

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Your cache this contact form to give you the best possible experience on ResearchGate. above-mentioned synergy and cross-fertilization effects were expected to make a great impact. Please try 13:30:16 GMT by s_wx1094 (squid/3.5.20)

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Since the problem of high-dimensionality appears in many fields of application, the new and efficient numerical algorithms were among the main goals of this Priority Program. For full functionality of ResearchGate the request again. ever more realistic models have been developed in recent years.

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Your cache Differing provisions from the publisher's actual policy or licence agreement may be applicable.This it is well-known that one can compute stationary policies that are $\frac{2\gamma}{(1-\gamma)^2}\epsilon$-optimal. Your cache

The system returned: (22) Invalid argument The remote host or network may be down. Mathematical models of complex systems provide the foundation for Read our cookies policy to learn more.OkorDiscover by subject areaRecruit researchersJoin for freeLog in

Accordingly, a deeper understanding of the mathematical foundations as well as the development of The system returned: (22) Invalid argument The Using Value and Policy Iteration with some error $\epsilon$ at each iteration, of the most challenging tasks in applied mathematics today.

Publisher conditions are Motivated by the trend toward steadily increasing computer power, it is necessary to enable JavaScript. The system returned: (22) Invalid argument The We quantify the performance loss as the L^p norm of the approximation error/Bellman residual at each iteration.

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