Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
convergence when a deep network approximator is used. It tends to be more sensitive to hyperparameters and extensive searches are often required. Credits and reference John Schulman’s lecture on “The Nuts and Bolts of Deep RL Research” UC Berkeley Deep reinforcement learning UC Berkeley Deep RL