%0 Conference Paper %1 conf/cp/SayST19 %A Say, Buser %A Sanner, Scott %A Thiébaux, Sylvie %B CP %D 2019 %E Schiex, Thomas %E de Givry, Simon %I Springer %K dblp %P 674-689 %T Reward Potentials for Planning with Learned Neural Network Transition Models. %U http://dblp.uni-trier.de/db/conf/cp/cp2019.html#SayST19 %V 11802 %@ 978-3-030-30048-7

@inproceedings{conf/cp/SayST19, added-at = {2019-09-23T00:00:00.000+0200}, author = {Say, Buser and Sanner, Scott and Thiébaux, Sylvie}, biburl = {https://www.bibsonomy.org/bibtex/2d871563ed996f3daf5cbbc83a65f91ab/dblp}, booktitle = {CP}, crossref = {conf/cp/2019}, editor = {Schiex, Thomas and de Givry, Simon}, ee = {https://doi.org/10.1007/978-3-030-30048-7_39}, interhash = {a9b9379fa78750f5be20ace9c44d33a6}, intrahash = {d871563ed996f3daf5cbbc83a65f91ab}, isbn = {978-3-030-30048-7}, keywords = {dblp}, pages = {674-689}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2019-09-24T11:45:40.000+0200}, title = {Reward Potentials for Planning with Learned Neural Network Transition Models.}, url = {http://dblp.uni-trier.de/db/conf/cp/cp2019.html#SayST19}, volume = 11802, year = 2019 }