Difference between revisions of "MinPPO"
(Created page with "These are notes for the MinPPO project [https://github.com/kscalelabs/minppo here]. == Testing == * Hidden layer size of 256 shows progress (loss is based on state.q[2]) * s...") |
(No difference)
|
Revision as of 22:20, 20 August 2024
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.
