Machine Learning, AI, Reinforcement Learning, Optimization, Neural Networks.
simultaneously tuning discrete and continuous hyperparameters. Review of Policy Gradients From last time, recall that policy gradients optimizes the following cost function for tuning hyperparameters: where a is the set of hyperparameters chosen for a particular experiment, and theta represents all