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Larkin Liu
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 7
Top Topics
Delayed Feedback
Nash Equilibrium
Markov Games
Markov Decision Processes
Top Venues
CoRR
J. Open Source Softw.
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Publications
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Larkin Liu
,
Yuming Rong
A Stackelberg Regret Minimizing Framework for Online Learning in Newsvendor Pricing Games.
CoRR
(2024)
Larkin Liu
,
Shiqi Liu
,
Matej Jusup
Monte Carlo Planning for Stochastic Control on Constrained Markov Decision Processes.
CoRR
(2024)
Larkin Liu
,
Jun Tao Luo
mctreesearch4j: A Monte Carlo Tree Search Implementation for the JVM.
J. Open Source Softw.
7 (69) (2022)
Larkin Liu
Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing.
CoRR
(2022)
Larkin Liu
,
Jun Tao Luo
An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM.
CoRR
(2021)
Larkin Liu
,
Yu-Chung Lin
,
Joshua Reid
Improving the Performance of the LSTM and HMM Models via Hybridization.
CoRR
(2019)
Larkin Liu
,
Richard Downe
,
Joshua Reid
Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes.
CoRR
(2019)