Leverage the Average: an Analysis of KL Regularization in RL

Leverage the Average: an Analysis of KL Regularization in RL

31 March 2020

Nino Vieillard

Olivier Pietquin

Papers citing "Leverage the Average: an Analysis of KL Regularization in RL"

9 / 9 papers shown

Title
q-exponential family for policy optimization Lingwei Zhu Haseeb Shah Han Wang Yukie Nagai Martha White OffRL 73 0 0 14 Aug 2024
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin M. Geist OffRL 19 9 0 16 Aug 2021
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 37 15 0 09 Jun 2021
Near Optimal Policy Optimization via REPS Aldo Pacchiano Jonathan Lee Peter L. Bartlett Ofir Nachum 11 3 0 17 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 24 174 0 10 Mar 2021
Optimization Issues in KL-Constrained Approximate Policy Iteration N. Lazić Botao Hao Yasin Abbasi-Yadkori Dale Schuurmans Csaba Szepesvári 19 10 0 11 Feb 2021
Logistic Q-Learning Joan Bas-Serrano Sebastian Curi Andreas Krause Gergely Neu 9 40 0 21 Oct 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 29 45 0 23 Aug 2020
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 17 70 0 04 Jul 2020