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researcher

Erik Talvitie

6 papers hereh-index 121.2k citations22 works total

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

author position
  • sole author2
  • first author1
  • middle author3

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

fields
  • cs.LG5
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20142018
most citedState of the Art Control of Atari Games Using Shallow Reinforcement Learning

34 citations · 79 across the 6 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.AI2018★ 25 cited

The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces

G. Zacharias Holland, Erin J. Talvitie, Michael Bowling

Dyna is a fundamental approach to model-based reinforcement learning (MBRL) that interleaves planning, acting, and learning in an online setting. In the most typical application of…

cs.LG2018

Learning the Reward Function for a Misspecified Model

Erik Talvitie

In model-based reinforcement learning it is typical to decouple the problems of learning the dynamics model and learning the reward function. However, when the dynamics model is fl…

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