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researcher

Joseph Modayil

18 papers hereh-index 246k citations59 works total

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

author position
  • first author2
  • middle author12
  • last author3

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.AI9
  • cs.LG7
  • cs.RO2

identity via Semantic Scholar / OpenAlex

activity
20112026
most citedRainbow: Combining Improvements in Deep Reinforcement Learning

424 citations · 611 across the 16 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.AI2021★ 5 cited

Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study

Dylan J. A. Brenneis, Adam S. Parker, Michael Bradley Johanson +7

Artificial intelligence systems increasingly involve continual learning to enable flexibility in general situations that are not encountered during system training. Human interacti…

cs.LG2021

Adapting the Function Approximation Architecture in Online Reinforcement Learning

John D. Martin, Joseph Modayil

The performance of a reinforcement learning (RL) system depends on the computational architecture used to approximate a value function. Deep learning methods provide both optimizat…

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