Daniel J. Mankowitz

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Publications

Citations

2.3K

H-Index

Active since

2014

Affiliations

Technion – Israel Institute of Technology(Current)

Google (United States)

Google DeepMind (United Kingdom)

University College London

Association for Computing Machinery

Daniel J. Mankowitz is an author at Technion – Israel Institute of Technology specializing in computer science, artificial intelligence, and machine learning.

ORCID

Top concepts

EngineeringMachine LearningArtificial IntelligenceComputer ScienceRobot LearningData ScienceDeep LearningIntelligent SystemsAutonomous LearningEducation

Publications per year

2014–2024

Publications

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz et al. · Machine Learning · 2021 · 526 citations · Full text

Artificial Intelligence, Real-world Reinforcement Learning, Engineering +4

Challenges of Real-World Reinforcement Learning

Gabriel Dulac-Arnold, Daniel J. Mankowitz, Todd Hester · arXiv (Cornell University) · 2019 · 252 citations · Full text

Artificial Intelligence, Real-world Reinforcement Learning, Engineering +12

Reward Constrained Policy Optimization

Chen Tessler, Daniel J. Mankowitz, Shie Mannor · arXiv (Cornell University) · 2018 · 235 citations · Full text

Artificial Intelligence, Constrained Policy Optimization, Engineering +14

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Chen Tessler, Shahar Givony, Tom Zahavy et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2017 · 216 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

Faster sorting algorithms discovered using deep reinforcement learning

Daniel J. Mankowitz, Andrea Michi, Anton Zhernov et al. · Nature · 2023 · 144 citations · Full text

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1–5 of 32