I used controlDisturbance while training neural imitator to force the simulated cartpole to explore suboptimal trajectories. However this variable seems to also affect MPPI predictions at least if based on ODE predictor. This shouldn't probably be like this. One should double check it, maybe within a broader check of how adding noise and latency (also to "measurement") affects simulation vs predictors vs physical cartpole functioning. This behaviour might not be consistent.
I used controlDisturbance while training neural imitator to force the simulated cartpole to explore suboptimal trajectories. However this variable seems to also affect MPPI predictions at least if based on ODE predictor. This shouldn't probably be like this. One should double check it, maybe within a broader check of how adding noise and latency (also to "measurement") affects simulation vs predictors vs physical cartpole functioning. This behaviour might not be consistent.