Exploring the Role of Parameterization in Reinforcement Learning

The chapter delves into fascinating aspects of reinforcement learning (RL), including meta gradients and the lottery ticket hypothesis. It also explores the contrasting parameter requirements between RL and evolutionary strategies, touches on parameterization in RL, and discusses meta learning and its relation to evolution.