Mandy Grüttner and Parameter - Free people check

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Tom Schaul | csauthors.netwww.csauthors.net › tom-schaul

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... the Parallel Problem Solving from Nature, Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients. Mandy Grüttner.

Artificial Neural Networks - ICANN 2010: 20th International...

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ANN. Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients Mandy Grüttner, Frank Sehnke, ...

[PDF] Importance Sampling Techniques for Policy Optimization - Journal of ...jmlr.csail.mit.edu › papers › volume21

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Mandy Grüttner, Frank Sehnke, Tom Schaul, and Jürgen Schmidhuber. Multi-dimensional deep memory go-player for parameter exploring policy gradients

[PDF] Multi-Dimensional Deep Memory Go-Player for Parameter Exploring ...mediatum.ub.tum.de › doc

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Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber as required for more complex playing behavior. Other methods like Evolution.

Mandy Grüttner - dblpdblp.org › Mandy Grüttner

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Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber: Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients.

Multi-Dimensional Deep Memory Atari-Go Players for Parameter...

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Developing superior artificial board-game players is a widely-studied area of Artificial Intelligence. Among the most challenging games is the Asian game of...

All web results to the name "Mandy Grüttner"

Multi-Dimensional Deep Memory Atari-Go Players for Parameter ...www.semanticscholar.org › paper › Multi-Dimensional-Deep-Memory-Ata...

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Mandy Grüttner, Frank Sehnke, +1 author J. Schmidhuber; Published in ICANN 2010; Computer Science. Developing superior artificial board-game players is a ...