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John Quan — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
John Quan
11
papers ·
1799
citations ·
15
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
StarCraft II: A New Challenge for Reinforcement Learning
2017 · 685 citations
Distributed Prioritized Experience Replay
2018 · 415 citations
Deep Q-learning from Demonstrations
2017 · 307 citations
Distral: Robust Multitask Reinforcement Learning
2017 · 183 citations
Observe and Look Further: Achieving Consistent Performance on Atari
2018 · 87 citations
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
2019 · 57 citations
Universal Successor Features Approximators
2018 · 24 citations
Vision-Language Models as a Source of Rewards
2023 · 3 citations
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
2020
The Phenomenon of Policy Churn
2022
Top co-authors
Tom Schaul
· 6
David Silver
· 5
Andr\'e Barreto
· 4
Dan Horgan
· 4
Hado van Hasselt
· 4
Matteo Hessel
· 3
R\'emi Munos
· 3
Bilal Piot
· 2
Daniel Mankowitz
· 2
David Budden
· 2
Diana Borsa
· 2
Gabriel Barth-Maron
· 2
Topics
Value-Based
Game AI
Meta-RL
Exploration
Offline RL
Policy Gradient
Multi-Agent
Model-Based RL
RLHF & Alignment