Machine Learning, AI, Reinforcement Learning, Optimization, Neural Networks.
mean error of just 2.1% across 6 separate hyperparameters. There’s roughly a 0.0835⁶ = 3.39E-7 probability of randomly drawing a similar set of parameters, which means PG is now nearly 3000x more efficient than random search! The benefit of using policy gradients sharply increases as the size of