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researcher

J. MacGlashan

7 papers hereh-index 202.3k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3
  • last author1

Across the 5 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI3

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedInteractive Learning from Policy-Dependent Human Feedback

104 citations · 224 across the 5 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.LG2026

Showing versus Doing: Teaching by Demonstration

Mark K. Ho, Michael L. Littman, James MacGlashan +2

People often learn from others' demonstrations, and inverse reinforcement learning (IRL) techniques have realized this capacity in machines. In contrast, teaching by demonstration…

cs.AI2026

Coachable agents for interactive gameplay

Roberto Capobianco, Harm van Seijen, Nolan D. Bard +38

Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing to robotics to foundation m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.