Jorge A. Mendez

24 papers A* 5Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning. RLJ Marcel Hussing, Jorge A. Mendez, Anisha Singrodia, Cassandra Kent, Eric Eaton
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`	Embodied Lifelong Learning for Task and Motion Planning. CoRR Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2023	J	`jnl`	Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton
2023	J	`jnl`	How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition. Trans. Mach. Learn. Res. Jorge A. Mendez, Eric Eaton
2023	J	`jnl`	Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning. CoRR Marcel Hussing, Jorge A. Mendez, Anisha Singrodia, Cassandra Kent, Eric Eaton
2022	—	`conf`	CompoSuite: A Compositional Reinforcement Learning Benchmark. CoLLAs Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton
2022	J	`jnl`	CompoSuite: A Compositional Reinforcement Learning Benchmark. CoRR Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton
2022	J	`jnl`	Gap Minimization for Knowledge Sharing and Transfer. CoRR Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
2022	J	`jnl`	How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition. CoRR Jorge A. Mendez, Eric Eaton
2022	J	`jnl`	Lifelong Inverse Reinforcement Learning. CoRR Jorge A. Mendez, Shashank Shivkumar, Eric Eaton
2022	J	`jnl`	Lifelong Machine Learning of Functionally Compositional Structures. CoRR Jorge A. Mendez
2022	A*	`conf`	Modular Lifelong Reinforcement Learning via Neural Composition. ICLR Jorge A. Mendez, Harm van Seijen, Eric Eaton
2022	J	`jnl`	Modular Lifelong Reinforcement Learning via Neural Composition. CoRR Jorge A. Mendez, Harm van Seijen, Eric Eaton
2022	J	`jnl`	Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings. CoRR Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu
2022	—	`conf`	SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries. CoLLAs Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton
2022	J	`jnl`	SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries. CoRR Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton
2021	A*	`conf`	Lifelong Learning of Compositional Structures. ICLR Jorge A. Mendez, Eric Eaton
2020	J	`jnl`	Lifelong Learning of Compositional Structures. CoRR Jorge A. Mendez, Eric Eaton
2020	A*	`conf`	Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting. NeurIPS Jorge A. Mendez, Boyu Wang, Eric Eaton
2020	J	`jnl`	Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting. CoRR Jorge A. Mendez, Boyu Wang, Eric Eaton
2019	A*	`conf`	Transfer Learning via Minimizing the Performance Gap Between Domains. NeurIPS Boyu Wang, Jorge A. Mendez, Mingbo Cai, Eric Eaton
2018	A*	`conf`	Lifelong Inverse Reinforcement Learning. NeurIPS Jorge A. Mendez, Shashank Shivkumar, Eric Eaton