Brief summary: a nice intro about what generative models are and the current popular approaches/papers, followed by descriptions of recent work by OpenAI in the space. Quick links to papers mentioned:
Improving GANs https://arxiv.org/abs/1606.03498
Improving VAEs http://arxiv.org/abs/1606.04934
Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks http://arxiv.org/abs/1605.09674
Generative Adversarial Imitation Learning http://arxiv.org/abs/1606.03476
I think the last one seems very exciting, I expect Imitation Learning would be a great approach for many robotics tasks.