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Peter Henderson — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Peter Henderson
17
papers ·
2104
citations ·
39
h-index
Princeton University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
An Introduction to Deep Reinforcement Learning
2018 · 1464 citations
Deep Reinforcement Learning that Matters
2017 · 366 citations
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
2017 · 187 citations
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods
2018 · 16 citations
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
2018 · 12 citations
Separating value functions across time-scales
2019 · 4 citations
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
2022 · 1 citations
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
2017
Top co-authors
Doina Precup
· 3
Alexandre Pich\'e
· 1
Marc G. Bellemare
· 1
Yann Ollivier
· 1
Topics
Value-Based
Exploration
Policy Gradient
Model-Based RL
Meta-RL
Offline RL
Game AI
Safe RL