A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream
Jorge Mendez-Mendez. Preprint, 2025 [PDF]
See the PDF version here.
Jorge Mendez-Mendez. Preprint, 2025 [PDF]
Kyle O'Brien and Nathan Hoyen Ng and Isha Puri and Jorge Mendez-Mendez and Hamid Palangi and Yoon Kim and Marzyeh Ghassemi and Thomas Hartvigsen. Transactions on Machine Learning Research (TMLR), 2024 [PDF]
Jorge Mendez-Mendez, Eric Eaton. Transactions on Machine Learning Research (TMLR), 2023 [PDF]
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Ese Ben-Iwhiwhu,,rew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag 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 Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge Mendez-Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff,,rea 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, 2023 [PDF]
Boyu Wang, Jorge Mendez-Mendez, Changjian Shui, Fan Zhou, Di Wu, Xu, Gezheng, Christian Gagne, Eric Eaton. Journal on Machine Learning Research (JMLR), 2023 [PDF]
Bartlomiej Cieslar, Leslie Kaelbling, Tomas Lozano-Perez, and Jorge Mendez-Mendez. Conference on Robot Learning (CoRL), 2024 [PDF]
Marcel Hussing*, Jorge Mendez-Mendez*, Anisha Singrodia, Cassandra Kent, Eric Eaton. Reinforcement Learning Conference (RLC), 2024 [PDF]
Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomas Lozano-Perez. Conference on Robot Learning (CoRL), 2023 [PDF]
Meghna Gummadi, Cassandra Kent, Jorge Mendez-Mendez, Eric Eaton. Conference on Lifelong Learning Agents (CoLLAs), 2022 [PDF]
Jorge Mendez-Mendez*, Marcel Hussing*, Meghna Gummadi, Eric Eaton. Conference on Lifelong Learning Agents (CoLLAs), 2022 [PDF]
Jorge Mendez-Mendez, Harm van Seijen, Eric Eaton. International Conference on Learning Representations (ICLR), 2022 [PDF]
Jorge Mendez-Mendez, Eric Eaton. International Conference on Learning Representations (ICLR), 2021 [PDF]
Jorge Mendez-Mendez, Boyu Wang, Eric Eaton. Advances in Neural Information Processing Systems (NeurIPS), 2020 [PDF]
Boyu Wang, Jorge Mendez-Mendez, Mingbo Cai, Eric Eaton. Advances in Neural Information Processing Systems (NeurIPS), 2019 [PDF]
Jorge Mendez-Mendez, Shashank Shivkumar, Eric Eaton. Advances in Neural Information Processing Systems (NeurIPS), 2018 [PDF]
Abe Ejilemele, Jorge Mendez-Mendez. CoLLAs Workshop Track, 2023 [PDF]
Marcel Hussing*, Jorge Mendez-Mendez*, Cassandra Kent, Eric Eaton. CoRL Workshop on Pre-training Robot Learning, 2022 [PDF]
Jorge Mendez-Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu. 3rd Conversational AI Workshop at NeurIPS, 2019 [PDF]
Jorge Mendez-Mendez. University of Pennsylvania, 2022 [PDF]
Spring '25
Instructor
Fall '24
Instructor
Fall '19, Spring '20
Instructor
Fall '17
Head Teaching Assistant
Winter '16, Spring '14, Winter '14, Fall '14, Spring '13, Winter '13, Fall '13
Teaching Assistant
Spring '12
Teaching Assistant
Winter '12
Teaching Assistant
Fall '11
Teaching Assistant
Unlocking Lifelong Robot Learning With Modularity (early-career spotlight), 2025
Unlocking Lifelong Robot Learning With Modularity, 2024
Causal Models for Lifelong Robot Learning and Where to Find Them (position talk), 2024
Unlocking Lifelong Robot Learning With Modularity, 2023
Unlocking Lifelong Robot Learning With Modularity, 2023
Unlocking Lifelong Robot Learning With Modularity, 2023
Lifelong Robot Learning via Functional Compositionality, 2022
Creating Versatile Learning Agents Via Lifelong Compositionality, 2022
Creating Versatile Learning Agents Via Lifelong Compositionality, 2022
Lifelong Learning of Compositional Structures, 2020
*Outstanding reviewer