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Quan Vuong — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Quan Vuong
17
papers ·
792
citations ·
19
h-index
Central Intelligence Agency · Design Intelligence (United States) · National Intelligence University
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Most-cited papers
First Order Constrained Optimization in Policy Space
2020 · 52 citations
Better Exploration with Optimistic Actor-Critic
2019 · 35 citations
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
2019 · 22 citations
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
2023 · 16 citations
Multi-task Batch Reinforcement Learning with Metric Learning
2019 · 10 citations
Supervised Policy Update for Deep Reinforcement Learning
2018 · 3 citations
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
2024 · 3 citations
Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints
2022 · 2 citations
Dual Generator Offline Reinforcement Learning
2022 · 2 citations
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
2023
Top co-authors
Aviral Kumar
· 5
Sergey Levine
· 5
Yevgen Chebotar
· 5
Alex Irpan
· 2
Anikait Singh
· 2
Kamil Ciosek
· 2
Keith W. Ross
· 2
Adrien Ali Ta\"iga
· 1
Aleksandra Faust
· 1
Alexander Herzog
· 1
Brianna Zitkovich
· 1
Chelsea Finn
· 1
Topics
Offline RL
Value-Based
Safe RL
Policy Gradient
Model-Based RL
Exploration
Multi-Agent
Meta-RL
Game AI