Adaptive playouts for online learning of policies during Monte Carlo Tree Search

T. Graf, M. Platzner, Journal Theoretical Computer Science 644 (2016) 53–62.

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Journal Article | English
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Journal Theoretical Computer Science
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644
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53-62
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Graf T, Platzner M. Adaptive playouts for online learning of policies during Monte Carlo Tree Search. Journal Theoretical Computer Science. 2016;644:53-62. doi:10.1016/j.tcs.2016.06.029
Graf, T., & Platzner, M. (2016). Adaptive playouts for online learning of policies during Monte Carlo Tree Search. Journal Theoretical Computer Science, 644, 53–62. https://doi.org/10.1016/j.tcs.2016.06.029
@article{Graf_Platzner_2016, title={Adaptive playouts for online learning of policies during Monte Carlo Tree Search}, volume={644}, DOI={10.1016/j.tcs.2016.06.029}, journal={Journal Theoretical Computer Science}, publisher={Elsevier}, author={Graf, Tobias and Platzner, Marco}, year={2016}, pages={53–62} }
Graf, Tobias, and Marco Platzner. “Adaptive Playouts for Online Learning of Policies during Monte Carlo Tree Search.” Journal Theoretical Computer Science 644 (2016): 53–62. https://doi.org/10.1016/j.tcs.2016.06.029.
T. Graf and M. Platzner, “Adaptive playouts for online learning of policies during Monte Carlo Tree Search,” Journal Theoretical Computer Science, vol. 644, pp. 53–62, 2016.
Graf, Tobias, and Marco Platzner. “Adaptive Playouts for Online Learning of Policies during Monte Carlo Tree Search.” Journal Theoretical Computer Science, vol. 644, Elsevier, 2016, pp. 53–62, doi:10.1016/j.tcs.2016.06.029.

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