Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations
arXiv:2210.00770v1h-index: 2
Originality Synthesis-oriented
AI Analysis
This addresses the issue of slow training times in reinforcement learning for researchers and practitioners, but appears incremental as it applies a known control method to an existing problem.
The paper tackles the problem of slow reinforcement learning by using a PID controller-based coaching scheme to expedite it, resulting in unspecified improvements in training speed.
We propose a Proportional Integral Derivative (PID) controller-based coaching scheme to expedite reinforcement learning (RL).