Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods

5 October 2018

Papers citing "Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods"

15 / 15 papers shown

Title
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 98 4 0 09 Jul 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization Daniel Mayfrank Na Young Ahn Alexander Mitsos Manuel Dahmen 112 2 0 21 Mar 2024
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 99 2,504 0 19 Apr 2019
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 88 480 0 23 Apr 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 118 1,961 0 19 Sep 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup BDL OffRL 77 253 0 10 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 520 19,237 0 20 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 202 937 0 07 Jul 2017
YellowFin and the Art of Momentum Tuning Jian Zhang Ioannis Mitliagkas ODL 61 108 0 12 Jun 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia Wilson Rebecca Roelofs Mitchell Stern Nathan Srebro Benjamin Recht ODL 68 1,032 0 23 May 2017
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 204 6,199 0 15 Sep 2016
Fast Zero-Shot Image Tagging Yang Zhang Boqing Gong M. Shah VLM 3DV 47 142 0 31 May 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 104 3,434 0 08 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 161 6,630 0 22 Dec 2012