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Improved Exploring Starts by Kernel Density Estimation-Based State-Space
  Coverage Acceleration in Reinforcement Learning
v1v2 (latest)

Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning

19 May 2021
Maximilian Schenke
Oliver Wallscheid
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning"

1 / 1 papers shown
Title
Steady-State Error Compensation in Reference Tracking and Disturbance
  Rejection Problems for Reinforcement Learning-Based Control
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control
Daniel Weber
Maximilian Schenke
Oliver Wallscheid
23
2
0
31 Jan 2022
1