Mark K. Ho

Stevens Institute of Technology — United States

Computer Science · Physical Sciences

19h-index1.4kcitations94works7.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Reinforcement Learning in Robotics(19), Decision-Making and Behavioral Economics(16), Complex Systems and Decision Making(14), AI-based Problem Solving and Planning(10), Experimental Behavioral Economics Studies(9)

Publications94 total

Multimodal Chip Physical Design Engineer Assistant
arXiv (Cornell University)·2025Open Access
Heuristics for meta-planning from a normative model of information search
2025Open Access
Reinforcement Learning-Driven Window Selection for Enhanced Window-Based Rip-up and Reroute in Chip Detailed Routing
2025
Author Correction: Adaptive mechanisms of social and asocial learning in immersive collective foraging
Nature Communications·2025· 1 citedOpen Access
A timeline of cognitive costs in decision-making
Trends in Cognitive Sciences·2025· 6 cited
Mentalizing and heuristics as distinct cognitive strategies in human teaching
2025Open Access
Adaptive mechanisms of social and asocial learning in immersive collective foraging
Nature Communications·2025· 7 citedOpen Access
Exploring the hierarchical structure of human plans via program generation
Cognition·2024· 3 cited
Building machines that learn and think with people
Nature Human Behaviour·2024· 34 cited
Building Machines that Learn and Think with People
arXiv (Cornell University)·2024· 1 citedOpen Access
Three Dogmas of Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Using games to understand the mind
Nature Human Behaviour·2024· 62 cited
Representational Alignment Supports Effective Machine Teaching
arXiv (Cornell University)·2024· 1 citedOpen Access
Teaching Functions with Gaussian Process Regression
Proceedings of the AAAI Symposium Series·2024Open Access
Heuristics for meta-planning from a normative model of information search
2024· 1 citedOpen Access
Heuristics for meta-planning from a normative model of information search
2024· 3 citedOpen Access
Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract)
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 2 citedOpen Access
Bayesian Reinforcement Learning With Limited Cognitive Load
Open Mind·2024· 6 citedOpen Access
Exploring the hierarchical structure of human plans via program generation
arXiv (Cornell University)·2023· 4 citedOpen Access
Concept Alignment as a Prerequisite for Value Alignment
arXiv (Cornell University)·2023· 2 citedOpen Access
page 1 of 5Next →

Frequent Co-authors

Thomas L. Griffiths(24), Michael L. Littman(17), Fiery Cushman(14), Joseph L. Austerweil(10), Carlos G. Correa(7), Theodore R. Sumers(7), Robert D. Hawkins(7), Frederick Callaway(6), James MacGlashan(5), David Abel(4), Jonathan D. Cohen(4), Joshua B. Tenenbaum(4), Arunima Sarin(4), Nathaniel D. Daw(4), Wei Ji(3), Sophia Sanborn(3), Guan Wang(2), Max Kleiman‐Weiner(2), Sanjit A. Seshia(2), Kelsey R. Allen(2)