| Learning probabilistic behavior models in real-time strategy games E Dereszynski, J Hostetler, A Fern, T Dietterich, TT Hoang, M Udarbe Proceedings of the AAAI Conference on Artificial Intelligence and …, 2011 | 111 | 2011 |
| State aggregation in Monte Carlo tree search J Hostetler, A Fern, T Dietterich Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 30 | 2014 |
| Inferring strategies from limited reconnaissance in real-time strategy games J Hostetler, EW Dereszynski, TG Dietterich, A Fern arXiv preprint arXiv:1210.4880, 2012 | 22 | 2012 |
| Empirical usage metadata in learning objects G Nugent, K Kupzyk, SA Riley, LD Miller, J Hostetler, LK Soh, A Samal 2009 39th IEEE Frontiers in Education Conference, 1-6, 2009 | 10 | 2009 |
| On adversarial policy switching with experiments in real-time strategy games B King, A Fern, J Hostetler Proceedings of the International Conference on Automated Planning and …, 2013 | 7 | 2013 |
| Progressive Abstraction Refinement for Sparse Sampling. J Hostetler, A Fern, TG Dietterich UAI, 365-374, 2015 | 5 | 2015 |
| Monte Carlo Tree Search with Fixed and Adaptive Abstractions JA Hostetler | 4 | 2017 |
| Sample-based tree search with fixed and adaptive state abstractions J Hostetler, A Fern, T Dietterich Journal of Artificial Intelligence Research 60, 717-777, 2017 | 3 | 2017 |
| Embedding planning technology into satellite systems D Kortenkamp, P Bonasso, D Musliner, M Pelican, J Hostetler Infotech@ Aerospace 2011, 1564, 2011 | 2 | 2011 |
| Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer A Raghavan, J Hostetler, I Sur, A Rahman, A Divakaran arXiv preprint arXiv:2007.06918, 2020 | 1 | 2020 |
| Toward runtime-throttleable neural networks J Hostetler arXiv preprint arXiv:1905.13179, 2019 | 1 | 2019 |
| Dynamically Throttleable Neural Networks (TNN) H Liu, S Parajuli, J Hostetler, S Chai, B Bhanu arXiv preprint arXiv:2011.02836, 2020 | | 2020 |
| Generative memory for lifelong machine learning AN Raghavan, J Hostetler, I Sur, AA Rahman, SM Chai US Patent App. 16/825,953, 2020 | | 2020 |
| Runtime-throttleable neural networks J Hostetler, SM Chai US Patent App. 16/600,154, 2020 | | 2020 |
| Generative Memory for Lifelong Reinforcement Learning A Raghavan, J Hostetler, S Chai arXiv preprint arXiv:1902.08349, 2019 | | 2019 |
| Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines S Chai, K Son, J Hostetler 2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | | 2019 |
| Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines K Son, J Hostetler, S Chai arXiv preprint arXiv:1811.12108, 2018 | | 2018 |
| Bootstrapping Deep Neural Networks from Image Processing and Computer Vision Pipelines. K Son, J Hostetler, SM Chai CoRR, 2018 | | 2018 |
| Adversarial Policy Switching with Application to RTS Games B King, A Fern, J Hostetler Proceedings of the AAAI Conference on Artificial Intelligence and …, 2012 | | 2012 |
| Monte Carlo Tree Search with Fixed and Adaptive State Abstractions J Hostetler, A Fern, T Dietterich | | |
Alan FernOregon State UniversityDirección de correo verificada de eecs.oregonstate.edu
