most citedMultiagent Reinforcement Learning based Energy Beamforming Control

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.SY2022

Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations

Liping Bai

We propose a Proportional Integral Derivative (PID) controller-based coaching scheme to expedite reinforcement learning (RL).

eess.SP2020★ 1 cited

Multiagent Reinforcement Learning based Energy Beamforming Control

Liping Bai, Zhongqiang Pang

Ultra low power devices make far-field wireless power transfer a viable option for energy delivery despite the exponential attenuation. Electromagnetic beams are constructed from t…