Learning Probabilistic Behavior Models in Real-Time Strategy Games. - Ethan W. Dereszynski; Jesse Hostetler; Alan Fern; Thomas G. Dietterich; Thao-Trang Hoang; Mark Udarbe (AIIDE, 2011)

Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. - Jesse Hostetler; Ethan W. Dereszynski; Thomas G. Dietterich; Alan Fern (UAI, 2012)

On Adversarial Policy Switching with Experiments in Real-Time Strategy Games. - Brian King; Alan Fern; Jesse Hostetler (ICAPS, 2013)

State Aggregation in Monte Carlo Tree Search. - Jesse Hostetler; Alan Fern; Tom Dietterich (AAAI, 2014)

Progressive Abstraction Refinement for Sparse Sampling. - Jesse Hostetler; Alan Fern; Thomas G. Dietterich (UAI, 2015)

Sample-Based Tree Search with Fixed and Adaptive State Abstractions. - Jesse Hostetler; Alan Fern; Thomas G. Dietterich (J. Artif. Intell. Res., 2017)

Bootstrapping Deep Neural Networks from Image Processing and Computer Vision Pipelines. - Kilho Son; Jesse Hostetler; Sek M. Chai (CoRR, 2018)

Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines. - Sek M. Chai; Kilho Son; Jesse Hostetler (EMC2@HPCA/CVPR/ISCA, 2019)

Generative Memory for Lifelong Reinforcement Learning. - Aswin Raghavan; Jesse Hostetler; Sek M. Chai (CoRR, 2019)

Toward Runtime-Throttleable Neural Networks. - Jesse Hostetler (CoRR, 2019)

Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. - Aswin Raghavan; Jesse Hostetler; Indranil Sur; Abrar Rahman; Ajay Divakaran (CoRR, 2020)

Dynamically Throttleable Neural Networks (TNN). - Hengyue Liu; Samyak Parajuli; Jesse Hostetler; Sek M. Chai; Bir Bhanu (CoRR, 2020)

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - Indranil Sur; Zachary Daniels; Abrar Rahman; Kamil Faber; Gianmarco J. Gallardo; Tyler L. Hayes; Cameron E. Taylor; Mustafa Burak Gurbuz; James Seale Smith; Sahana Pramod Joshi; Nathalie Japkowicz; Michael Baron; et al. (AIMLSystems, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Alan Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran; Roberto Corizzo; Kamil Faber; Nathalie Japkowicz; Michael Baron; James Seale Smith; et al. (CoLLAs, 2022)

Conformal Prediction Intervals for Markov Decision Process Trajectories. - Thomas G. Dietterich; Jesse Hostetler (CoRR, 2022)

Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space. - Eric Yeh; Pedro Sequeira; Jesse Hostetler; Melinda T. Gervasio (CoRR, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran (CoRR, 2022)

A Framework for Understanding and Visualizing Strategies of RL Agents. - Pedro Sequeira; Daniel Elenius; Jesse Hostetler; Melinda T. Gervasio (CoRR, 2022)

Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning. - Pedro Sequeira; Jesse Hostetler; Melinda T. Gervasio (CoRR, 2022)

Dynamically throttleable neural networks. - Hengyue Liu; Samyak Parajuli; Jesse Hostetler; Sek M. Chai; Bir Bhanu (Mach. Vis. Appl., 2022)

Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space. - Eric Yeh; Pedro Sequeira; Jesse Hostetler; Melinda T. Gervasio (xAI (3), 2023)

Data-Centric Governance. - Sean McGregor; Jesse Hostetler (CoRR, 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards. - Arihant Chadda; Sean McGregor; Jesse Hostetler; Andrea Brennen (AAAI, 2024)

SandboxEval: Towards Securing Test Environment for Untrusted Code. - Rafiqul Rabin; Jesse Hostetler; Sean McGregor; Brett Weir; Nick Judd (CoRR, 2025)