Mark Edmonds

publications

* denotes equal contribution

2026

Patent

Autoregressive Models for Autonomous Agents

X. Huang, E. Wolff, P. Vernaza, T. Phan, M. Edmonds, B. Pierce, P. E. Jacob, and Y. Chai

US Patent Application 19/335,759, Pub. No. US 2026/0131822 A1, 2026

2025

ICML

DriveGPT: Scaling Autoregressive Behavior Models for Driving

X. Huang, E. M. Wolff, P. Vernaza, T. Phan-Minh, H. Chen, D. S. Hayden, M. Edmonds, B. Pierce, X. Chen, P. E. Jacob, X. Chen, C. Tairbekov, P. Agarwal, T. Gao, Y. Chai, and S. S. Srinivasa

International Conference on Machine Learning (ICML), 2025

2022

Sci. Robot.

In situ bidirectional human-robot value alignment

L. Yuan*, X. Gao*, Z. Zheng*, M. Edmonds, Y. N. Wu, F. Rossano, H. Lu, Y. Zhu, and S.-C. Zhu

Science Robotics, 2022

2021

PhD Thesis

Learning How and Why: Causal Learning and Explanation from Physical, Interactive, and Communicative Environments

M. Edmonds

University of California, Los Angeles, 2021

CVPR

ACRE: Abstract Causal REasoning Beyond Covariation

C. Zhang, B. Jia, M. Edmonds, S.-C. Zhu, and Y. Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

2020

Engineering

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Y. Zhu, T. Gao, L. Fan, S. Huang, M. Edmonds, H. Liu, F. Gao, C. Zhang, S. Qi, Y. N. Wu, J. B. Tenenbaum, and S.-C. Zhu

Engineering, 2020

AAAI

Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning

M. Edmonds, X. Ma, S. Qi, Y. Zhu, H. Lu, and S.-C. Zhu

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020Oral

2019

Sci. Robot.

A tale of two explanations: Enhancing human trust by explaining robot behavior

M. Edmonds*, F. Gao*, H. Liu*, X. Xie*, S. Qi, B. Rothrock, Y. Zhu, Y. N. Wu, H. Lu, and S.-C. Zhu

Science Robotics, 2019

CogSci

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning

M. Edmonds, S. Qi, Y. Zhu, J. Kubricht, S.-C. Zhu, and H. Lu

41st Annual Meeting of the Cognitive Science Society (CogSci), 2019

TPDS

Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce

M. Edmonds, T. Atahary, S. Douglass, and T. Taha

IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019

2018

CogSci

Human Causal Transfer: Challenges for Deep Reinforcement Learning

M. Edmonds*, J. Kubricht*, C. Summers, Y. Zhu, B. Rothrock, S.-C. Zhu, and H. Lu

40th Annual Meeting of the Cognitive Science Society (CogSci), 2018Oral

ICRA

Unsupervised Learning of Hierarchical Models for Hand-Object Interactions

X. Xie*, H. Liu*, M. Edmonds, F. Gao, S. Qi, Y. Zhu, B. Rothrock, and S.-C. Zhu

IEEE International Conference on Robotics and Automation (ICRA), 2018

2017

IROS

Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles

M. Edmonds*, F. Gao*, X. Xie, H. Liu, S. Qi, Y. Zhu, B. Rothrock, and S.-C. Zhu

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017

IROS

A Glove-based System for Studying Hand-Object Manipulation via Pose and Force Sensing

H. Liu*, X. Xie*, M. Millar*, M. Edmonds, F. Gao, Y. Zhu, V. Santos, B. Rothrock, and S.-C. Zhu

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017

2015

SNPD

High Performance Declarative Memory Systems through MapReduce

M. Edmonds, T. Atahary, S. Douglass, and T. Taha

IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015

NAECON

Brain Machine Interface Using Emotiv EPOC to Control Robai Cyton Robotic Arm

D. Prince, M. Edmonds, A. Sutter, M. Cusumano, W. Lu, and V. Asari

National Aerospace and Electronics Conference (NAECON), 2015