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Eric Eaton

7 papers hereh-index 302.9k citations89 works total

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

author position
  • middle author1
  • last author5

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV1
  • physics.med-ph1
  • stat.ML1
same name
  • Eric Eaton — 10 papers
  • Eric Eaton — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedSafe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret

21 citations · 24 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2020

Lifelong Learning of Compositional Structures

Jorge A. Mendez, Eric Eaton

A hallmark of human intelligence is the ability to construct self-contained chunks of knowledge and adequately reuse them in novel combinations for solving different yet structural…

cs.LG2020

Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting

Jorge A. Mendez, Boyu Wang, Eric Eaton

Policy gradient methods have shown success in learning control policies for high-dimensional dynamical systems. Their biggest downside is the amount of exploration they require bef…

cs.LG2017

Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer

David Isele, Mohammad Rostami, Eric Eaton

Knowledge transfer between tasks can improve the performance of learned models, but requires an accurate estimate of the inter-task relationships to identify the relevant knowledge…

cs.LG2015★ 21 cited

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret

Haitham Bou Ammar, Rasul Tutunov, Eric Eaton

Lifelong reinforcement learning provides a promising framework for developing versatile agents that can accumulate knowledge over a lifetime of experience and rapidly learn new tas…

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