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Dustin Morrill — most-cited papers & profile · Reinforcement Learning
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overview
Dustin Morrill
7
papers ·
131
citations ·
9
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
OpenSpiel: A Framework for Reinforcement Learning in Games
2019 · 107 citations
Neural Replicator Dynamics
2019 · 13 citations
The Advantage Regret-Matching Actor-Critic
2020 · 8 citations
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$-Regression Counterfactual Regret Minimization
2019 · 2 citations
Learning to Be Cautious
2021 · 1 citations
The Partially Observable History Process
2021
Composing Efficient, Robust Tests for Policy Selection
2023
Top co-authors
Michael Bowling
· 4
Jean-Baptiste Lespiau
· 3
Marc Lanctot
· 3
Daniel Hennes
· 2
Finbarr Timbers
· 2
Karl Tuyls
· 2
Shayegan Omidshafiei
· 2
Vinicius Zambaldi
· 2
Alexander Sieusahai
· 1
Amy R. Greenwald
· 1
and Karl Tuyls
· 1
Audr\=unas Gruslys
· 1
Topics
Multi-Agent
Game AI
Value-Based
Policy Gradient
Exploration
Safe RL
Model-Based RL
Meta-RL