2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.MA2021★ 2 cited
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method
Kuo Li, Qing-Shan Jia
We discuss the problem of decentralized multi-agent reinforcement learning (MARL) in this work. In our setting, the global state, action, and reward are assumed to be fully observa…
cs.LG2021
An Actor-Critic Method for Simulation-Based Optimization
Kuo Li, Qing-Shan Jia, Jiaqi Yan
We focus on a simulation-based optimization problem of choosing the best design from the feasible space. Although the simulation model can be queried with finite samples, its inter…
eess.SY2020
Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply
Teng Long, Qing-Shan Jia
The transition to the zero-carbon power system is underway accelerating recently. Hydrogen energy and electric vehicles (EVs) are promising solutions on the supply and demand sides…