| data { | |
| int N; | |
| int M; | |
| real<lower=0> Y[N]; | |
| } | |
| parameters { | |
| real<lower=0> mu; | |
| real<lower=0> phi; | |
| real<lower=1, upper=2> theta; |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
This contains the notes from my installation of Void Linux onto my Lenovo z13 (gen1) laptop1 with the following specs:
