Mark K Ho
6 papers · 2016–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (7) π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (2)
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Champion
Conferences
NIPS (5)
ICML (1)
Top co-authors
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
NIPS 2022
On the Expressivity of Markov Reward
NIPS 2021
On the Utility of Learning about Humans for Human-AI Coordination
NIPS 2019
Learning Task Specifications from Demonstrations
NIPS 2018
Showing versus doing: Teaching by demonstration
NIPS 2016