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researcher

Dharshan Kumaran

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
ORCID 0000-0001-5995-5264

identity via Semantic Scholar / OpenAlex

most citedLearning to reinforcement learn

380 citations · 754 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 7 cited

MEMO: A Deep Network for Flexible Combination of Episodic Memories

Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster +7

Recent research developing neural network architectures with external memory have often used the benchmark bAbI question and answering dataset which provides a challenging number o…

cs.LG2016★ 380 cited

Learning to reinforcement learn

Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala +6

In recent years deep reinforcement learning (RL) systems have attained superhuman performance in a number of challenging task domains. However, a major limitation of such applicati…

cs.AI2016★ 367 cited

Learning to Navigate in Complex Environments

Piotr Mirowski, Razvan Pascanu, Fabio Viola +9

Learning to navigate in complex environments with dynamic elements is an important milestone in developing AI agents. In this work we formulate the navigation question as a reinfor…

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