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Found 4 papers, 3 papers with code
Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations
We propose a Proportional Integral Derivative (PID) controller-based coaching scheme to expedite reinforcement learning (RL).
GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and Whistles
The global nearest neighbor (GNN) filter, as the earliest random vector-based Bayesian tracking framework, has been adopted in most of state-of-the-arts trackers in the automotive industry.
Deep Instance Segmentation with Automotive Radar Detection Points
Automotive radar provides reliable environmental perception in all-weather conditions with affordable cost, but it hardly supplies semantic and geometry information due to the sparsity of radar detection points.
Multiagent Reinforcement Learning based Energy Beamforming Control
Ultra low power devices make far-field wireless power transfer a viable option for energy delivery despite the exponential attenuation.
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