MinPPO

These are notes for the MinPPO project here.

Testing

• Hidden layer size of 256 shows progress (loss is based on state.q[2])
• setting std to zero makes rewards nans why. I wonder if there NEEDS to be randomization in the enviornment
• ctrl cost is whats giving nans? interesting?
• it is unrelated to randomization of enviornmnet. i think gradient related
• first thing to become nans seems to be actor loss and scores. after that, everything becomes nans
• fixed entropy epsilon. hope this works now.