Completed Practical Reinforcement Learning on Coursera

Sat, 01 May 2021 00:00:00 +0000

Reinforcement Learning is one of the most interesting topics in computer science and ML. I started with the canonical textbook — Reinforcement Learning: An Introduction by Sutton & Barto — which is a fantastic read, though some topics took multiple passes to properly absorb.

After working through Dynamic Programming, Monte-Carlo methods, and Temporal Difference learning, I wanted practical experience and turned to Coursera’s Practical Reinforcement Learning course.

Honest review: it was frustrating. The course tried to cover too much ground too quickly, assignment instructions were minimal and error feedback sparse, and by the halfway point I was no longer enjoying it. I pushed through to the end.

Reinforcement Learning on Srikanth Cherla

Completed Practical Reinforcement Learning on Coursera