Single sample per episode 600K dataset

This dataset contains 600K observations, actions and state values recorded using one-sample-per-episode scheme. This increases dataset diversity and allows to successfully learn value function. Because we ran four SimpleAgents against each other, the dataset is actually collected from 150K different episodes - from each episode we used random sample from each of the four agents. There are two dataset versions: one with discount rate 0.9 and one with 0.99.