Risk-sensitive planning

End-to-end planning framework for risk-sensitive planning under stochastic environments by backpropagating through a model of the environment. The core idea is to use reparameterization of the state distribution, leading to a unique distributional perspective of end-to-end planning where the return distribution is utilized for sampling as well as optimizing risk-aware objectives by backpropagation in a unified framework.