Mark K. Ho
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
5
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Integration of Language and Experience via the Instructed Bandit Task. | Ellen Su, Mark K. Ho, Todd M. Gureckis |
| 2025 | CogSci | Learning about Inductive Potential from Generic Statements. | Marianna Y. Zhang, Sarah-Jane Leslie, Marjorie Rhodes, Mark K. Ho |
| 2024 | AAAI | Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract). | Ruiqi He, Carlos G. Correa, Tom Griffiths, Mark K. Ho |
| 2024 | CogSci | Modeling Cognitive Strategies in Teaching: Integrating Theory of Mind and Heuristics. | Sevan K. Harootonian, Yael Niv, Tom Griffiths, Mark K. Ho |
| 2024 | CogSci | Common sense reasoning about credibility. | Peiyao Hu, Mark K. Ho |
| 2024 | CogSci | Teaching Functions with Gaussian Process Regression. | Maya Malaviya, Mark K. Ho |
| 2024 | CogSci | Investigating Flexible Role Binding in AI Agents. | Brian Pennisi, Todd M. Gureckis, Rheza Budiono, Mark K. Ho |
| 2024 | CogSci | Concept Alignment as a Prerequisite for Value Alignment. | Sunayana Rane, Mark K. Ho, Ilia Sucholutsky, Tom Griffiths |
| 2023 | ICML | 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 |
| 2022 | IJCAI | On the Expressivity of Markov Reward (Extended Abstract). | David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh |
| 2021 | AAAI | Learning Rewards From Linguistic Feedback. | Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths |
| 2021 | CogSci | Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. | Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu |
| 2021 | CogSci | Extending rational models of communication from beliefs to actions. | Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths |
| 2021 | CogSci | Specialization and selective social attention establishes the balance between individual and social learning. | Charley M. Wu, Mark K. Ho, Benjamin Kahl, Christina Leuker, Bjrn Meder, Ralf H. J. M. Kurvers |
| 2020 | AAAI | People Do Not Just Plan, They Plan to Plan. | Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths |
| 2020 | CogSci | Resource-rational Task Decomposition to Minimize Planning Costs. | Carlos G. Correa, Mark K. Ho, Frederick Callaway, Tom Griffiths |
| 2020 | CogSci | Punishment: Incentive or Communication? | Arunima Sarin, Mark K. Ho, Justin Martin, Fiery Cushman |
| 2020 | CogSci | Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation. | Theodore R. Sumers, Mark K. Ho, Tom Griffiths |
| 2020 | CogSci | Cognition, Collectives, and Human Culture. | Charley M. Wu, Natalia Vlez, Mark K. Ho, Robert L. Goldstone |
| 2020 | HRI | Teaching a Robot Tasks of Arbitrary Complexity via Human Feedback. | Guan Wang, Carl Trimbach, Jun Ki Lee, Mark K. Ho, Michael L. Littman |
| 2019 | CogSci | Compositional subgoal representations. | Carlos G. Correa, Frederick Callaway, Mark K. Ho, Tom Griffiths |
| 2019 | CogSci | The Computational Structure of Unintentional Meaning. | Mark K. Ho, Joanna Korman, Tom Griffiths |
| 2018 | CogSci | Effectively Learning from Pedagogical Demonstrations. | Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil |
| 2017 | CogSci | Teaching by Intervention: Working Backwards, Undoing Mistakes, or Correcting Mistakes? | Mark K. Ho, Michael L. Littman, Joseph L. Austerweil |
| 2017 | ICML | Interactive Learning from Policy-Dependent Human Feedback. | James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman |
| 2016 | CogSci | Feature-based Joint Planning and Norm Learning in Collaborative Games. | Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil |
| 2016 | CogSci | Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. | Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum |
| 2015 | CogSci | Teaching with Rewards and Punishments: Reinforcement or Communication? | Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil |
| 2013 | CogSci | Working Memory and Abstract Representation in the Context of Culture. | Mark K. Ho, Fiery Cushman |