Understanding the impact of entropy on policy optimization

Understanding the impact of entropy on policy optimization

27 November 2018

Nicolas Le Roux

Mohammad Norouzi

Dale Schuurmans

Papers citing "Understanding the impact of entropy on policy optimization"

8 / 58 papers shown

Title
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 10 70 0 04 Jul 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 30 275 0 13 May 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos M. Geist 12 41 0 31 Mar 2020
Neural Architecture Search for Class-incremental Learning Shenyang Huang Vincent François-Lavet Guillaume Rabusseau CLL 23 16 0 14 Sep 2019
Dynamic Scale Inference by Entropy Minimization Dequan Wang Evan Shelhamer Bruno A. Olshausen Trevor Darrell 19 7 0 08 Aug 2019
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift Alekh Agarwal Sham Kakade J. Lee G. Mahajan 11 315 0 01 Aug 2019
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization Xingyou Song Yilun Du Jacob Jackson AI4CE 19 8 0 02 Jun 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016