Mark K Ho
6 papers · 2016–2023 · 2 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π Conference Polyglot Β· Bronze
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Keyword Champion
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Topic Evolution
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Keyword Pioneer
Venues
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
task specification
(2)
imitation learning
(2)
reward function
(2)
human-in-the-loop learning
(1)
inverse reinforcement learning
(1)
bayesian model
(1)
distribution shift
(1)
optimal policy
(1)
reward learning
(1)
learning from demonstration
(1)
contextual bandit
(1)
policy adaptation
(1)
value alignment
(1)
social learning
(1)
multi-agent coordination
(1)
reward inference
(1)
human-agent interaction
(1)
adversarial game
(1)
pedagogical behavior
(1)
Papers
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
ICML 2023
How to talk so AI will learn: Instructions, descriptions, and autonomy
NeurIPS 2022
On the Expressivity of Markov Reward
NeurIPS 2021
On the Utility of Learning about Humans for Human-AI Coordination
NeurIPS 2019
Learning Task Specifications from Demonstrations
NeurIPS 2018
Showing versus doing: Teaching by demonstration
NeurIPS 2016