Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning

30 January 2019

Papers citing "Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning"

7 / 7 papers shown

Title
Proximal Mean Field Learning in Shallow Neural Networks Alexis M. H. Teter Iman Nodozi A. Halder FedML 43 1 0 25 Oct 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 26 15 0 07 Oct 2022
Mirror Learning: A Unifying Framework of Policy Optimisation J. Kuba Christian Schroeder de Witt Jakob N. Foerster 18 24 0 07 Jan 2022
Policy Optimization as Online Learning with Mediator Feedback Alberto Maria Metelli Matteo Papini P. DÓro Marcello Restelli OffRL 19 10 0 15 Dec 2020
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks Edmond Lezmi Jules Roche T. Roncalli Jiali Xu 26 6 0 09 Jul 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities Junyu Zhang Alec Koppel Amrit Singh Bedi Csaba Szepesvári Mengdi Wang 19 137 0 04 Jul 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 24 56 0 11 Feb 2020