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researcher

D. Mankowitz

23 papers hereh-index 277.2k citations56 works total

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

author position
  • first author5
  • middle author17

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.LG15
  • cs.AI4
  • cs.CV1
  • eess.IV1
  • physics.plasm-ph1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedChallenges of Real-World Reinforcement Learning

254 citations · 362 across the 10 of their papers we have counts for

collaborators
Showing 2017 · cs.AIShow all

2 papers · 2 filters

cs.AI2017★ 1 cited

Situationally Aware Options

Daniel J. Mankowitz, Aviv Tamar, Shie Mannor

Hierarchical abstractions, also known as options -- a type of temporally extended action (Sutton et. al. 1999) that enables a reinforcement learning agent to plan at a higher level…

cs.AI2017

Shallow Updates for Deep Reinforcement Learning

Nir Levine, Tom Zahavy, Daniel J. Mankowitz +2

Deep reinforcement learning (DRL) methods such as the Deep Q-Network (DQN) have achieved state-of-the-art results in a variety of challenging, high-dimensional domains. This succes…

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