How do I train deep learning algorithms on my Institution's High-Performance Computing (HPC) Platform

Hi, Everyone,

I have been trying to train my deep learning algorithms such as DQN and DDPG using my university's HPC, but I keep getting the errors below. I appreciate your assistance.

[Vinayak]

Hi, the errors do not seem to be visible.

[Sampson Nwachukwu]

Hi, Vinayak,

I have sorted it out.

However, I am facing a challenge in training my SAC algorithm.

I have an action space specified as:

numActions = 1;
actionInfo = rlNumericSpec([numActions 1],...
    "LowerLimit",-0.1, "UpperLimit",0.1);

Setting the TargetEntropy = -3 or -5 gives a better training curve; although I do not achieve an optimal result. However, when I set it to -1 or allow the program to choose authomatically, I end up getting a very bad training curve with a poor result. I have tried it different temperature coefficient, but I am still getting the same result.

Please, you assistance will be appreciated. Thank you.