Optimizing Stochastic Control through State Transition Separability and Resource-Utility Exchange
Larkin Liu, Matej Jusup, Shiqi Liu (2024)
ACM SIGMETRICS Performance Evaluation Review
No-Regret Learning for Stackelberg Equilibrium Computation in Newsvendor Pricing Games
Larkin Liu, Yuming Rong (2024)
Conference on Algorithmic Decision Theory (ADT 2024)
Dual-Sourcing via Dynamic Programming with Monte Carlo Value Approximation
Larkin Liu (2024)
2024 28th International Conference on System Theory, Control and Computing (ICSTCC)
Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing
Larkin Liu (2024)
EPIA Conference on Artificial Intelligence, 360-371