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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 2023Show all

2 papers · 1 filter

cs.LG2023

Towards model-free RL algorithms that scale well with unstructured data

Joseph Modayil, Zaheer Abbas

Conventional reinforcement learning (RL) algorithms exhibit broad generality in their theoretical formulation and high performance on several challenging domains when combined with…

cs.LG2023★ 7 cited

Loss of Plasticity in Continual Deep Reinforcement Learning

Zaheer Abbas, Rosie Zhao, Joseph Modayil +2

The ability to learn continually is essential in a complex and changing world. In this paper, we characterize the behavior of canonical value-based deep reinforcement learning (RL)…

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