Jesse Hostetler

28 papers A* 3A 2Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SandboxEval: Towards Securing Test Environment for Untrusted Code. CoRR Rafiqul Rabin, Jesse Hostetler, Sean McGregor, Brett Weir, Nick Judd
2024	A*	`conf`	AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards. AAAI Arihant Chadda, Sean McGregor, Jesse Hostetler, Andrea Brennen
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR 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, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 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, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	Data-Centric Governance. CoRR Sean McGregor, Jesse Hostetler
2023	—	`conf`	Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space. xAI (3) Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio
2022	J	`jnl`	A Framework for Understanding and Visualizing Strategies of RL Agents. CoRR Pedro Sequeira, Daniel Elenius, Jesse Hostetler, Melinda T. Gervasio
2022	J	`jnl`	Conformal Prediction Intervals for Markov Decision Process Trajectories. CoRR Thomas G. Dietterich, Jesse Hostetler
2022	J	`jnl`	Dynamically throttleable neural networks. Mach. Vis. Appl. Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu
2022	J	`jnl`	Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning. CoRR Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio
2022	—	`conf`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 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, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
2022	J	`jnl`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoRR Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran
2022	J	`jnl`	Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space. CoRR Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio
2022	—	`conf`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 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, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022	J	`jnl`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR 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, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2020	J	`jnl`	Dynamically Throttleable Neural Networks (TNN). CoRR Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu
2020	J	`jnl`	Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. CoRR Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran
2019	—	`conf`	Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines. EMC2@HPCA/CVPR/ISCA Sek M. Chai, Kilho Son, Jesse Hostetler
2019	J	`jnl`	Generative Memory for Lifelong Reinforcement Learning. CoRR Aswin Raghavan, Jesse Hostetler, Sek M. Chai
2019	J	`jnl`	Toward Runtime-Throttleable Neural Networks. CoRR Jesse Hostetler
2018	J	`jnl`	Bootstrapping Deep Neural Networks from Image Processing and Computer Vision Pipelines. CoRR Kilho Son, Jesse Hostetler, Sek M. Chai
2017	J	`jnl`	Sample-Based Tree Search with Fixed and Adaptive State Abstractions. J. Artif. Intell. Res. Jesse Hostetler, Alan Fern, Thomas G. Dietterich
2015	A	`conf`	Progressive Abstraction Refinement for Sparse Sampling. UAI Jesse Hostetler, Alan Fern, Thomas G. Dietterich
2014	A*	`conf`	State Aggregation in Monte Carlo Tree Search. AAAI Jesse Hostetler, Alan Fern, Tom Dietterich
2013	A*	`conf`	On Adversarial Policy Switching with Experiments in Real-Time Strategy Games. ICAPS Brian King, Alan Fern, Jesse Hostetler
2012	J	`jnl`	Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games CoRR Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern
2012	A	`conf`	Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. UAI Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern
2011	—	`conf`	Learning Probabilistic Behavior Models in Real-Time Strategy Games. AIIDE Ethan W. Dereszynski, Jesse Hostetler, Alan Fern, Thomas G. Dietterich, Thao-Trang Hoang, Mark Udarbe