Larkin Liu

According to our database, Larkin Liu authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations.

Larkin Liu, Kashif Rasul, Yutong Chao, Jalal Etesami

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making.

Larkin Liu, Jalal Etesami

CoRR, October, 2025

2024

Optimizing Stochastic Control through State TransitionSeparability and Resource-Utility Exchange.

Larkin Liu, Shiqi Liu, Matej Jusup

SIGMETRICS Perform. Evaluation Rev., 2024

Monte Carlo Planning for Stochastic Control on Constrained Markov Decision Processes.

Larkin Liu, Shiqi Liu, Matej Jusup

CoRR, 2024

A Stackelberg Regret Minimizing Framework for Online Learning in Newsvendor Pricing Games.

Larkin Liu, Yuming Rong

CoRR, 2024

Dual-Sourcing via Dynamic Programming with Monte Carlo Value Approximation.

Larkin Liu

Proceedings of the 28th International Conference on System Theory, Control and Computing, 2024

Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing.

Larkin Liu

Proceedings of the Progress in Artificial Intelligence, 2024

2022

mctreesearch4j: A Monte Carlo Tree Search Implementation for the JVM.

Larkin Liu, Jun Tao Luo

J. Open Source Softw., 2022

2021

An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM.

Larkin Liu, Jun Tao Luo

CoRR, 2021

2019

Improving the Performance of the LSTM and HMM Models via Hybridization.

Larkin Liu, Yu-Chung Lin, Joshua Reid

CoRR, 2019

Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes.

Larkin Liu, Richard Downe, Joshua Reid

CoRR, 2019