2 citations · 2 across the 2 of their papers we have counts for
2 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…