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 | 128 | 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 | 49 | 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 | 27 | 2012 |
A domain-agnostic approach for characterization of lifelong learning systems MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ... Neural Networks 160, 274-296, 2023 | 25 | 2023 |
Conformal prediction intervals for markov decision process trajectories TG Dietterich, J Hostetler arXiv preprint arXiv:2206.04860, 2022 | 18 | 2022 |
Runtime-throttleable neural networks J Hostetler, SM Chai US Patent 11,494,626, 2022 | 14 | 2022 |
Model-free generative replay for lifelong reinforcement learning: Application to starcraft-2 Z Daniels, A Raghavan, J Hostetler, A Rahman, I Sur, M Piacentino, ... arXiv preprint arXiv:2208.05056, 2022 | 14 | 2022 |
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 | 14 | 2017 |
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 |
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 | 9 | 2020 |
Progressive Abstraction Refinement for Sparse Sampling. J Hostetler, A Fern, TG Dietterich UAI, 365-374, 2015 | 9 | 2015 |
Data-centric governance S McGregor, J Hostetler arXiv preprint arXiv:2302.07872, 2023 | 6 | 2023 |
Dynamically throttleable neural networks (TNN) H Liu, S Parajuli, J Hostetler, S Chai, B Bhanu arXiv preprint arXiv:2011.02836, 2020 | 6 | 2020 |
Monte Carlo Tree Search with Fixed and Adaptive Abstractions JA Hostetler | 6 | 2017 |
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 | 6 | 2013 |
Dynamically throttleable neural networks H Liu, S Parajuli, J Hostetler, S Chai, B Bhanu Machine Vision and Applications 33 (4), 59, 2022 | 5 | 2022 |
Generative memory for lifelong machine learning AN Raghavan, J Hostetler, I Sur, AA Rahman, SM Chai US Patent 11,494,597, 2022 | 4 | 2022 |
Toward runtime-throttleable neural networks J Hostetler arXiv preprint arXiv:1905.13179, 2019 | 4 | 2019 |
Outcome-guided counterfactuals for reinforcement learning agents from a jointly trained generative latent space E Yeh, P Sequeira, J Hostetler, M Gervasio arXiv preprint arXiv:2207.07710, 2022 | 3 | 2022 |
Generative memory for lifelong reinforcement learning A Raghavan, J Hostetler, S Chai arXiv preprint arXiv:1902.08349, 2019 | 3 | 2019 |