{"year":"2016","intvolume":" 644","page":"53-62","citation":{"short":"T. Graf, M. Platzner, Journal Theoretical Computer Science 644 (2016) 53–62.","bibtex":"@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} }","mla":"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.","apa":"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","ama":"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","ieee":"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.","chicago":"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."},"title":"Adaptive playouts for online learning of policies during Monte Carlo Tree Search","doi":"10.1016/j.tcs.2016.06.029","publisher":"Elsevier","date_updated":"2022-01-06T06:50:49Z","volume":644,"date_created":"2019-07-10T11:14:43Z","author":[{"full_name":"Graf, Tobias","last_name":"Graf","first_name":"Tobias"},{"first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco","id":"398"}],"status":"public","publication":"Journal Theoretical Computer Science","type":"journal_article","language":[{"iso":"eng"}],"_id":"10661","department":[{"_id":"78"}],"user_id":"3118"}