clvrai / mopa-pd Goto Github PK

Hi,
I have some problems about the performance in the paper.
In [Table 1], which methods were trained with MoPA-RL trajectories?
I have seen that MoPA-RL trajectories were used by BC-Visual and Ours.
Can u explain the training data for each methods, i.e., Asym. SAC | MoPA-Asym. SAC | CoL | CoL w/ BC smoothing | Ours w/o BC smoothing?
I am confused that why [CoL w/ BC smoothing] cannot perform well if it was also trained with MoPA-RL trajectories and BC smoothing, just as your method MoRL-PD?

Thanks for your any reply.

Hi!

I was trying to go through the training process with SawyerPushObstacle-v0. I met the keyword error when the following line is executed

where the step function in BaseEnv has no is_bc_policy keyword.

Or, the _step method should be called here?

Looking forward to your reply, thanks.