Breaking Out – Breakout Baseline #1

The hardest part of Reinforcement Learning isn’t the math or the complex theory or the ML frameworks. It’s what comes after the code finally runs. For me, that’s when the real challenge begins: tuning the agent. In the past, my process was mostly guesswork: endless fiddling with hyperparameters until, by sheer luck, something worked. More […]