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When, where, and how to add new neurons to ANNs.

, , , and . AutoML, volume 188 of Proceedings of Machine Learning Research, page 18/1-12. PMLR, (2022)

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Neural Distillation as a State Representation Bottleneck in Reinforcement Learning., , and . CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 798-818. PMLR, (2022)Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning., , and . ICTAI (2), page 63-70. IEEE Computer Society, (2010)978-0-7695-4263-8.Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference., , , and . ICPRAM, page 437-445. SciTePress, (2016)Neural Distillation as a State Representation Bottleneck in Reinforcement Learning., , , and . CoRR, (2022)When, where, and how to add new neurons to ANNs., , , and . AutoML, volume 188 of Proceedings of Machine Learning Research, page 18/1-12. PMLR, (2022)On the locality of action domination in sequential decision making., and . ISAIM, (2010)Empirical evaluation of a Q-Learning Algorithm for Model-free Autonomous Soaring., , , and . CoRR, (2017)Open Loop Execution of Tree-Search Algorithms., , , and . IJCAI, page 2362-2368. ijcai.org, (2018)Dynamic unsplittable flows with path-change penalties: New formulations and solution schemes for large instances., , , , and . Comput. Oper. Res., (апреля 2023)LUCIE: an evaluation and selection method for stochastic problems., , , and . GECCO, page 730-738. ACM, (2022)