Deep neural networks have been successfully trained with simple gradient-based methods, despite the inherent non-convexity of the objectivefunction.

Experimental results demonstrate the efficacy of the HiBug framework.

Generativeadversarial networks (GANs) were originally envisioned asunsupervised generative models that learn to follow a target distribution.

Temporal abstraction is a fundamental component of intelligent agents as it allows for explicit reasoning at different timescales.

Baseline Model As a baseline, we use the aforementioned linear Cox proportional hazard model[Cox72].