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Jorge Mendez-Mendez
Jorge Mendez-Mendez
Other namesJorge A. Mendez
Postdoctoral Fellow, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Transfer learning via minimizing the performance gap between domains
B Wang, JA Mendez, M Cai, E Eaton
Advances in Neural Information Processing Systems, 2019
552019
Modular lifelong reinforcement learning via neural composition
JA Mendez, H van Seijen, E Eaton
International Conference on Learning Representations, 2022
372022
Lifelong learning of compositional structures
JA Mendez, E Eaton
International Conference on Learning Representations, 2021
362021
Lifelong policy gradient learning of factored policies for faster training without forgetting
JA Mendez, B Wang, E Eaton
Advances in Neural Information Processing Systems, 2020
352020
How to reuse and compose knowledge for a lifetime of tasks: A survey on continual learning and functional composition
JA Mendez, E Eaton
Transactions on Machine Learning Research, 2023
202023
Lifelong inverse reinforcement learning
JA Mendez, S Shivkumar, E Eaton
Advances in Neural Information Processing Systems, 2018
192018
A domain-agnostic approach for characterization of lifelong learning systems
MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ...
Neural Networks 160, 274-296, 2023
132023
Gap Minimization for Knowledge Sharing and Transfer
B Wang, JA Mendez, C Shui, F Zhou, D Wu, X Gezheng, C Gagné, ...
Journal of Machine Learning Research 24 (33), 1-57, 2023
82023
CompoSuite: A Compositional Reinforcement Learning Benchmark
JA Mendez*, M Hussing*, M Gummadi, E Eaton
Conference on Lifelong Learning Agents, 2022
72022
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries
M Gummadi, C Kent, JA Mendez, E Eaton
Conference on Lifelong Learning Agents, 2022
62022
Reinforcement learning of multi-domain dialog policies via action embeddings
JA Mendez, A Geramifard, M Ghavamzadeh, B Liu
Conversational AI Workshop at NeurIPS, 2019
62019
Embodied lifelong learning for task and motion planning
J Mendez-Mendez, LP Kaelbling, T Lozano-Pérez
Conference on Robot Learning, 2134-2150, 2023
4*2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
M Hussing*, JA Mendez*, C Kent, E Eaton
CoRL Workshop on Pre-training Robot Learning, 2022
12022
Lifelong Machine Learning of Functionally Compositional Structures
JA Méndez
University of Pennsylvania, 2022
12022
Improving Black-box Robustness with In-Context Rewriting
K O'Brien, N Ng, I Puri, J Mendez-Mendez, H Palangi, Y Kim, M Ghassemi, ...
arXiv preprint arXiv:2402.08225, 2024
2024
Continual Improvement of Threshold-Based Novelty Detection
A Ejilemele, J Mendez-Mendez
arXiv preprint arXiv:2309.02551, 2023
2023
A General Framework for Continual Learning of Compositional Structures
JA Mendez, E Eaton
Continual Learning Workshop at ICML, 2020
2020
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Articles 1–17