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ORCIDJesse Hostetler
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2020 – today
- 2024
[c10]Arihant Chadda, Sean McGregor, Jesse Hostetler, Andrea Brennen:
AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards. AAAI 2024: 23035-23040- 2023
- [j3]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:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [c9]Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space. xAI (3) 2023: 449-469 - [i14]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:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i13]Sean McGregor, Jesse Hostetler:
Data-Centric Governance. CoRR abs/2302.07872 (2023) - 2022
- [j2]Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu:
Dynamically throttleable neural networks. Mach. Vis. Appl. 33(4): 59 (2022) - [c8]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:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c7]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:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [i12]Thomas G. Dietterich, Jesse Hostetler:
Conformal Prediction Intervals for Markov Decision Process Trajectories. CoRR abs/2206.04860 (2022) - [i11]Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space. CoRR abs/2207.07710 (2022) - [i10]Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoRR abs/2208.05056 (2022) - [i9]Pedro Sequeira, Daniel Elenius, Jesse Hostetler, Melinda T. Gervasio:
A Framework for Understanding and Visualizing Strategies of RL Agents. CoRR abs/2208.08552 (2022) - [i8]Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning. CoRR abs/2211.06376 (2022) - [i7]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:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2020
- [i6]Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran:
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. CoRR abs/2007.06918 (2020) - [i5]Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu:
Dynamically Throttleable Neural Networks (TNN). CoRR abs/2011.02836 (2020)
2010 – 2019
- 2019
- [c6]Sek M. Chai, Kilho Son, Jesse Hostetler:
Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines. EMC2@HPCA/CVPR/ISCA 2019: 6-10 - [i4]Aswin Raghavan, Jesse Hostetler, Sek M. Chai:
Generative Memory for Lifelong Reinforcement Learning. CoRR abs/1902.08349 (2019) - [i3]Jesse Hostetler:
Toward Runtime-Throttleable Neural Networks. CoRR abs/1905.13179 (2019) - 2018
- [i2]Kilho Son, Jesse Hostetler, Sek M. Chai:
Bootstrapping Deep Neural Networks from Image Processing and Computer Vision Pipelines. CoRR abs/1811.12108 (2018) - 2017
- [j1]Jesse Hostetler, Alan Fern, Thomas G. Dietterich:
Sample-Based Tree Search with Fixed and Adaptive State Abstractions. J. Artif. Intell. Res. 60: 717-777 (2017) - 2015
- [c5]Jesse Hostetler, Alan Fern, Thomas G. Dietterich:
Progressive Abstraction Refinement for Sparse Sampling. UAI 2015: 365-374 - 2014
- [c4]Jesse Hostetler, Alan Fern, Tom Dietterich:
State Aggregation in Monte Carlo Tree Search. AAAI 2014: 2446-2452 - 2013
- [c3]Brian King, Alan Fern, Jesse Hostetler:
On Adversarial Policy Switching with Experiments in Real-Time Strategy Games. ICAPS 2013 - 2012
- [c2]Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern:
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. UAI 2012: 367-376 - [i1]Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern:
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. CoRR abs/1210.4880 (2012) - 2011
- [c1]Ethan W. Dereszynski, Jesse Hostetler, Alan Fern, Thomas G. Dietterich, Thao-Trang Hoang, Mark Udarbe:
Learning Probabilistic Behavior Models in Real-Time Strategy Games. AIIDE 2011
Coauthor Index
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