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Jorge A. Mendez
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Journal Articles
- 2023
- [j3]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. 24: 33:1-33:57 (2023) - [j2]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) - [j1]Jorge A. Mendez, Eric Eaton:
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2024
- [c8]Marcel Hussing, Jorge A. Mendez, Anisha Singrodia, Cassandra Kent, Eric Eaton:
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning. RLC 2024: 979-994 - 2022
- [c7]Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton:
CompoSuite: A Compositional Reinforcement Learning Benchmark. CoLLAs 2022: 982-1003 - [c6]Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton:
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries. CoLLAs 2022: 1065-1085 - [c5]Jorge A. Mendez, Harm van Seijen, Eric Eaton:
Modular Lifelong Reinforcement Learning via Neural Composition. ICLR 2022 - 2021
- [c4]Jorge A. Mendez, Eric Eaton:
Lifelong Learning of Compositional Structures. ICLR 2021 - 2020
- [c3]Jorge A. Mendez, Boyu Wang, Eric Eaton:
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting. NeurIPS 2020 - 2019
- [c2]Boyu Wang, Jorge A. Mendez, Mingbo Cai, Eric Eaton:
Transfer Learning via Minimizing the Performance Gap Between Domains. NeurIPS 2019: 10644-10654 - 2018
- [c1]Jorge A. Mendez, Shashank Shivkumar, Eric Eaton:
Lifelong Inverse Reinforcement Learning. NeurIPS 2018: 4507-4518
Informal and Other Publications
- 2023
- [i13]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) - [i12]Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Lifelong Learning for Task and Motion Planning. CoRR abs/2307.06870 (2023) - [i11]Marcel Hussing, Jorge A. Mendez, Anisha Singrodia, Cassandra Kent, Eric Eaton:
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning. CoRR abs/2307.07091 (2023) - 2022
- [i10]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. CoRR abs/2201.11231 (2022) - [i9]Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton:
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries. CoRR abs/2206.13720 (2022) - [i8]Jorge A. Mendez, Harm van Seijen, Eric Eaton:
Modular Lifelong Reinforcement Learning via Neural Composition. CoRR abs/2207.00429 (2022) - [i7]Jorge A. Mendez, Shashank Shivkumar, Eric Eaton:
Lifelong Inverse Reinforcement Learning. CoRR abs/2207.00461 (2022) - [i6]Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu:
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings. CoRR abs/2207.00468 (2022) - [i5]Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton:
CompoSuite: A Compositional Reinforcement Learning Benchmark. CoRR abs/2207.04136 (2022) - [i4]Jorge A. Mendez, Eric Eaton:
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition. CoRR abs/2207.07730 (2022) - [i3]Jorge A. Mendez:
Lifelong Machine Learning of Functionally Compositional Structures. CoRR abs/2207.12256 (2022) - 2020
- [i2]Jorge A. Mendez, Boyu Wang, Eric Eaton:
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting. CoRR abs/2007.07011 (2020) - [i1]Jorge A. Mendez, Eric Eaton:
Lifelong Learning of Compositional Structures. CoRR abs/2007.07732 (2020)
Coauthor Index
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