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researcher

J. Bagnell

64 papers hereh-index 6529.3k citations219 works total

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

author position
  • middle author33
  • last author28

Across the 61 of 64 papers where every author was matched, so the position is known.

fields
  • cs.LG40
  • cs.RO14
  • cs.AI3
  • cs.CV3
  • cs.GT3
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedAn Algorithmic Perspective on Imitation Learning

382 citations · 978 across the 50 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 1 cited

Inverse Reinforcement Learning without Reinforcement Learning

Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell +1

Inverse Reinforcement Learning (IRL) is a powerful set of techniques for imitation learning that aims to learn a reward function that rationalizes expert demonstrations. Unfortunat…

cs.LG2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms

Anirudh Vemula, Yuda Song, Aarti Singh +2

We propose a novel approach to addressing two fundamental challenges in Model-based Reinforcement Learning (MBRL): the computational expense of repeatedly finding a good policy in…

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