Jesse Hostetler
Jesse Hostetler
UL Digital Safety Research Institute
Verified email at - Homepage
Cited by
Cited by
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
State aggregation in Monte Carlo tree search
J Hostetler, A Fern, T Dietterich
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 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
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
Conformal prediction intervals for markov decision process trajectories
TG Dietterich, J Hostetler
arXiv preprint arXiv:2206.04860, 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
Runtime-throttleable neural networks
J Hostetler, SM Chai
US Patent 11,494,626, 2022
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
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
Progressive Abstraction Refinement for Sparse Sampling.
J Hostetler, A Fern, TG Dietterich
UAI, 365-374, 2015
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
Dynamically throttleable neural networks (TNN)
H Liu, S Parajuli, J Hostetler, S Chai, B Bhanu
arXiv preprint arXiv:2011.02836, 2020
Monte Carlo Tree Search with Fixed and Adaptive Abstractions
JA Hostetler
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
Data-centric governance
S McGregor, J Hostetler
arXiv preprint arXiv:2302.07872, 2023
Toward runtime-throttleable neural networks
J Hostetler
arXiv preprint arXiv:1905.13179, 2019
Generative memory for lifelong machine learning
AN Raghavan, J Hostetler, I Sur, AA Rahman, SM Chai
US Patent 11,494,597, 2022
System design for an integrated lifelong reinforcement learning agent for real-time strategy games
I Sur, Z Daniels, A Rahman, K Faber, G Gallardo, T Hayes, C Taylor, ...
Proceedings of the Second International Conference on AI-ML Systems, 1-9, 2022
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
AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards
A Chadda, S McGregor, J Hostetler, A Brennen
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23035 …, 2024
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