Machine Learning, Aritificial Intelligence, Reinforcement Learning, Neural Networks, Generative Model.
previous related work (Buesing et al., 2019) which sees the generative process like a tree, would fail when there are many action sequences that can lead to the same state. Demonstrate on synthetic data the usefulness of departing from seeking one mode of the return, and instead seeking to model