Jorge A. Mendez

According to our database, Jorge A. Mendez authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A domain-agnostic approach for characterization of lifelong learning systems.

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

Neural Networks, March, 2023

Gap Minimization for Knowledge Sharing and Transfer.

Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

J. Mach. Learn. Res., 2023

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning.

Marcel Hussing, Jorge A. Mendez, Anisha Singrodia, Cassandra Kent, Eric Eaton

CoRR, 2023

Embodied Lifelong Learning for Task and Motion Planning.

Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez

CoRR, 2023

2022

Lifelong Machine Learning of Functionally Compositional Structures.

Jorge A. Mendez

CoRR, 2022

How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition.

Jorge A. Mendez, Eric Eaton

CoRR, 2022

Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings.

Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu

CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.

Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton

CoRR, 2022

Modular Lifelong Reinforcement Learning via Neural Composition.

Jorge A. Mendez, Harm van Seijen, Eric Eaton

Proceedings of the Tenth International Conference on Learning Representations, 2022

CompoSuite: A Compositional Reinforcement Learning Benchmark.

Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton

Proceedings of the Conference on Lifelong Learning Agents, 2022

SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries.

Meghna Gummadi, David Kent, Jorge A. Mendez, Eric Eaton

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Lifelong Learning of Compositional Structures.

Jorge A. Mendez, Eric Eaton

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting.

Jorge A. Mendez, Boyu Wang, Eric Eaton

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Transfer Learning via Minimizing the Performance Gap Between Domains.

Boyu Wang, Jorge A. Mendez, Mingbo Cai, Eric Eaton

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Lifelong Inverse Reinforcement Learning.

Jorge A. Mendez, Shashank Shivkumar, Eric Eaton

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018