Jun 16, 2016

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

InfoGAN https://arxiv.org/abs/1606.03657

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.