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

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 https://arxiv.org/abs/1606.03498 Improving VAEs http://arxiv.org/abs/1606.04934 http://arxiv.org/abs/1606.04934 InfoGAN https://arxiv.org/abs/1606.03657 https://arxiv.org/abs/1606.03657 Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks http://arxiv.org/abs/1605.09674 http://arxiv.org/abs/1605.09674 Generative Adversarial Imitation Learning http://arxiv.org/abs/1606.03476 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.