Ho, Mark K.

16 publications

NeurIPS 2025 Estimating Cognitive Biases with Attention-Aware Inverse Planning Sounak Banerjee, Daphne Cornelisse, Deepak Edakkattil Gopinath, Emily Sumner, Jonathan DeCastro, Guy Rosman, Eugene Vinitsky, Mark K Ho

ICLRW 2025 Representational Alignment Supports Effective Teaching Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore Sumers, Michalis Korakakis, Umang Bhatt, Mark K Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary Pardos, Adrian Weller, Thomas L. Griffiths

NeurIPSW 2024 Modeling Cognitive Strategies in Teaching Sevan K Harootonian, Yael Niv, Thomas L. Griffiths, Mark K Ho

AAAI 2024 Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract) Ruiqi He, Carlos G. Correa, Tom Griffiths, Mark K. Ho

ICML 2023 Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation Andi Peng, Aviv Netanyahu, Mark K Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal

NeurIPS 2022 How to Talk so AI Will Learn: Instructions, Descriptions, and Autonomy Theodore Sumers, Robert Hawkins, Mark K Ho, Tom Griffiths, Dylan Hadfield-Menell

NeurIPSW 2022 How to Talk so AI Will Learn: Instructions, Descriptions, and Pragmatics Theodore Sumers, Robert D. Hawkins, Mark K Ho, Thomas L. Griffiths, Dylan Hadfield-Menell

NeurIPSW 2022 On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam, Mark K Ho, Noah Goodman, Benjamin Van Roy

IJCAI 2022 On the Expressivity of Markov Reward (Extended Abstract) David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh

AAAI 2021 Learning Rewards from Linguistic Feedback Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths

NeurIPS 2021 On the Expressivity of Markov Reward David Abel, Will Dabney, Anna Harutyunyan, Mark K Ho, Michael L. Littman, Doina Precup, Satinder P. Singh

AAAI 2020 People Do Not Just Plan, They Plan to Plan Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths

NeurIPS 2019 On the Utility of Learning About Humans for Human-AI Coordination Micah Carroll, Rohin Shah, Mark K Ho, Tom Griffiths, Sanjit Seshia, Pieter Abbeel, Anca Dragan

NeurIPS 2018 Learning Task Specifications from Demonstrations Marcell Vazquez-Chanlatte, Susmit Jha, Ashish Tiwari, Mark K Ho, Sanjit Seshia

ICML 2017 Interactive Learning from Policy-Dependent Human Feedback James MacGlashan, Mark K. Ho, Robert Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman

NeurIPS 2016 Showing Versus Doing: Teaching by Demonstration Mark K Ho, Michael Littman, James MacGlashan, Fiery Cushman, Joseph L Austerweil