A lot of work has been done for this problem with known noise. In this paper, we consider a contextual dynamic pricing problem under a linear customer valuation model with an unknown market noise distributionF.

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

Inspired by the success of autoregressive priors in probabilistic generative models,weexamineautoregressive,hierarchical, andcombined priorsasalternatives, weighing their costs and benefits in the context of image compression.

In the meanwhile, multi-task RL is considered promising to enhance the generality of RL policies and improve the learning efficiency [4, 5, 6, 7, 8, 9, 10].

There is a widely-spread claim that GANs are difficult to train, and GAN architectures in the literature are littered with empirical tricks.