Unsupervised Doodling and Painting with Generative Agents

Explore the intersection of machine learning and creative endeavors in this talk by Dr. S. M. Ali Eslami, Research Scientist at Google DeepMind. Delve into the use of reinforcement learning agents as generative models for image creation, examining how computational techniques can be applied to artistic pursuits. Learn about the training process involving a simulated painting environment and a discriminator network, and discover how constrained generative agents can produce visually abstract images without external supervision. Gain insights into the potential emergence of human-like drawing abilities through simulated embodiment, and consider the implications for the future of machine learning in art and design. Investigate recent advances in reinforcement learning, generative models, and topological data analysis for media creation, design exploration, and urban analytics. The talk covers a wide range of topics, including the history of AI, computer vision, machine learning examples, reinforcement learning applications, cultural significance of AI in games like Go, optimization and generation techniques, human creativity, style transfer, realistic generation, and the philosophical debate surrounding computer-generated art.