PID-style tuning methods aim to reduce oscillations in constrained reinforcement learning, but the speaker reports that oscillation errors remain.

“There are methods that try to get around this like there's something which basically has P_I_D_ style. Like it's uh uh tuning. That's pretty interesting, but also we still find”

“still running to exactly the same issues, right? You have the the oscillation uh errors in there. And”