Gombolay, Matthew

18 publications

ICLR 2025 Generalized Behavior Learning from Diverse Demonstrations Varshith Sreeramdass, Rohan R Paleja, Letian Chen, Sanne van Waveren, Matthew Gombolay
ICLR 2025 Generating CAD Code with Vision-Language Models for 3D Designs Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, Matthew Gombolay
TMLR 2024 Compositional Instruction Following with Language Models and Reinforcement Learning Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew Gombolay, Ray Mooney, Benjamin Rosman
ICLR 2024 CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning Tianyu Li, Hyunyoung Jung, Matthew Gombolay, Yong Cho, Sehoon Ha
CoRL 2023 DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation Sravan Jayanthi, Letian Chen, Nadya Balabanska, Van Duong, Erik Scarlatescu, Ezra Ameperosa, Zulfiqar Haider Zaidi, Daniel Martin, Taylor Keith Del Matto, Masahiro Ono, Matthew Gombolay
CoRL 2023 Hijacking Robot Teams Through Adversarial Communication Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew Gombolay
NeurIPS 2023 Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams Esmaeil Seraj, Jerry Xiong, Mariah Schrum, Matthew Gombolay
AISTATS 2022 Cross-Loss Influence Functions to Explain Deep Network Representations Andrew Silva, Rohit Chopra, Matthew Gombolay
CoRL 2022 Contrastive Decision Transformers Sachin G. Konan, Esmaeil Seraj, Matthew Gombolay
CoRL 2022 Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations Letian Chen, Sravan Jayanthi, Rohan R Paleja, Daniel Martin, Viacheslav Zakharov, Matthew Gombolay
ICLR 2022 Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming Sachin G Konan, Esmaeil Seraj, Matthew Gombolay
CoRL 2022 Reciprocal MIND MELD: Improving Learning from Demonstration via Personalized, Reciprocal Teaching Mariah L Schrum, Erin Hedlund-Botti, Matthew Gombolay
CoRL 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew Gombolay, Gregory D. Hager
CoRL 2021 Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew Gombolay, Gregory Hager
NeurIPS 2021 The Utility of Explainable AI in Ad Hoc Human-Machine Teaming Rohan Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew Gombolay
NeurIPS 2020 Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations Rohan Paleja, Andrew Silva, Letian Chen, Matthew Gombolay
CoRL 2020 Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen, Rohan Paleja, Matthew Gombolay
AISTATS 2020 Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning Andrew Silva, Taylor Killian, Ivan Jimenez, Sung-Hyun Son, Matthew Gombolay