General Advice

In deep RL, failure comes in many flavors. Sometimes your agent doesn't train at all . Sometimes it appears to be learning, but then something weird happens late in training that completely derails its performance.

When this happens, remember that you are part of a community . Please reach out to your fellow students and mentors in Student Hub, ask for advice in Knowledge, submit your project to get feedback from a reviewer. We will figure this out together! Deep RL isn't easy and arguably "doesn't work yet" . A large part of mastering cutting-edge algorithms is banging your head against the table - and we'll be right there with you. We promise that it will be so incredibly rewarding when you ultimately get it working!

## Failure is Inevitable and Only Temporary

When we wrote a solution to this project, we didn't get it right the first time. Or the second. Or the third. :)