A Complete Reinforcement Learning System (Capstone)
University of Alberta
For moon landing, let’s build a complete Deep RL system. You will get hands dirty in an expected SARSA agent using neural networks as function approximation and Adam as optimizer, also don’t forget softmax and replay buffer, and later parameter study! What an achievement!
But meanwhile – as Prof. Martha White and Prof. Adam White pointed out – this is only the “first step towards learning more about advanced topics in RL.” Thank you professors. I had a GREAT time with you.
My Certificate
https://coursera.org/share/38eafac93e566d04020202e3b9d36776
Related Specialization
I am Kesler Zhu, thank you for visiting. Checkout all of my course reviews at http://KZHU.ai