3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2020
On the Convergence of Reinforcement Learning in Nonlinear Continuous State Space Problems
Raman Goyal, Suman Chakravorty, Ran Wang +1
We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems. We show that in the RL setting, there is an inherent ``Curse of Variance" in addition…
eess.SY2020★ 3 cited
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning
Guanyu Gao, Yonggang Wen, Xiaohu Wu +1
The development of renewable energy generation empowers microgrids to generate electricity to supply itself and to trade the surplus on energy markets. To minimize the overall cost…
cs.NI2018
Realtime Scheduling and Power Allocation Using Deep Neural Networks
Shenghe Xu, Pei Liu, Ran Wang +1
With the increasing number of base stations (BSs) and network densification in 5G, interference management using link scheduling and power control are vital for better utilization…