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Daniel J. Mankowitz — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Daniel J. Mankowitz
20
papers ·
718
citations ·
22
h-index
Google DeepMind (United Kingdom) · Google (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Reward Constrained Policy Optimization
2018 · 235 citations
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
2016 · 142 citations
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
2018 · 80 citations
An empirical investigation of the challenges of real-world reinforcement learning
2020 · 52 citations
Robust Reinforcement Learning for Continuous Control with Model Misspecification
2019 · 38 citations
Controlling Commercial Cooling Systems Using Reinforcement Learning
2022 · 23 citations
A Bayesian Approach to Robust Reinforcement Learning
2019 · 21 citations
Shallow Updates for Deep Reinforcement Learning
2017 · 20 citations
Soft-Robust Actor-Critic Policy-Gradient
2018 · 19 citations
Learning Robust Options
2018 · 15 citations
Iterative Hierarchical Optimization for Misspecified Problems (IHOMP)
2016 · 11 citations
Balancing Constraints and Rewards with Meta-Gradient D4PG
2020 · 6 citations
Towards practical reinforcement learning for tokamak magnetic control
2023 · 6 citations
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
2020 · 4 citations
Situational Awareness by Risk-Conscious Skills
2016 · 3 citations
Top co-authors
Shie Mannor
· 10
Cosmin Păduraru
· 5
Timothy Mann
· 5
Tom Zahavy
· 5
Nir Levine
· 4
Aviv Tamar
· 3
Doina Precup
· 3
Martin Riedmiller
· 3
Andrea Michi
· 2
Chen Tessler
· 2
Dan A. Calian
· 2
Esther Derman
· 2
Topics
Safe RL
Value-Based
Policy Gradient
Model-Based RL
Game AI
Meta-RL
Exploration
Offline RL
Multi-Agent
RLHF & Alignment