no code implementations • 17 Jun 2019 • Adeel Mufti, Svetlin Penkov, Subramanian Ramamoorthy
The agent improves its policy in simulations generated by the DNC model and rolls out the policy to the live environment, collecting experiences in new portions or tasks of the environment for further learning.
Model-based Reinforcement Learning reinforcement-learning +1
no code implementations • 6 Mar 2019 • Adeel Mufti, Biagio Antonelli, Julius Monello
We examined the use of modern Generative Adversarial Nets to generate novel images of oil paintings using the Painter By Numbers dataset.