Jorge A. Mendez

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Motion Planning

Fitted Q Iteration

Reinforcement Learning

Lifelong Learning

Top Venues

Publications

Marcel Hussing, Jorge A. Mendez, Anisha Singrodia, Cassandra Kent, Eric Eaton
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning. CoRR (2023)
Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Embodied Lifelong Learning for Task and Motion Planning. CoRR (2023)
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 L. 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 (2023)
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 L. 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 (2023)
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 (2023)
Jorge A. Mendez
Lifelong Machine Learning of Functionally Compositional Structures. CoRR (2022)
Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries. CoRR (2022)
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
Gap Minimization for Knowledge Sharing and Transfer. CoRR (2022)
Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings. CoRR (2022)
Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton
CompoSuite: A Compositional Reinforcement Learning Benchmark. CoLLAs (2022)
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 (2022)
Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton
CompoSuite: A Compositional Reinforcement Learning Benchmark. CoRR (2022)
Jorge A. Mendez, Harm van Seijen, Eric Eaton
Modular Lifelong Reinforcement Learning via Neural Composition. CoRR (2022)
Jorge A. Mendez, Harm van Seijen, Eric Eaton
Modular Lifelong Reinforcement Learning via Neural Composition. ICLR (2022)
Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries. CoLLAs (2022)
Jorge A. Mendez, Shashank Shivkumar, Eric Eaton
Lifelong Inverse Reinforcement Learning. CoRR (2022)
Jorge A. Mendez, Eric Eaton
Lifelong Learning of Compositional Structures. ICLR (2021)
Jorge A. Mendez, Boyu Wang, Eric Eaton
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting. NeurIPS (2020)
Jorge A. Mendez, Boyu Wang, Eric Eaton
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting. CoRR (2020)
Jorge A. Mendez, Eric Eaton
Lifelong Learning of Compositional Structures. CoRR (2020)
Boyu Wang, Jorge A. Mendez, Mingbo Cai, Eric Eaton
Transfer Learning via Minimizing the Performance Gap Between Domains. NeurIPS (2019)
Jorge A. Mendez, Shashank Shivkumar, Eric Eaton
Lifelong Inverse Reinforcement Learning. NeurIPS (2018)