Optimization Issues in KL-Constrained Approximate Policy Iteration

Optimization Issues in KL-Constrained Approximate Policy Iteration

11 February 2021

Yasin Abbasi-Yadkori

Dale Schuurmans

Csaba Szepesvári

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Papers citing "Optimization Issues in KL-Constrained Approximate Policy Iteration"

19 / 19 papers shown

Title
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 99 87 0 20 May 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 143 294 0 13 May 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos Matthieu Geist 58 43 0 31 Mar 2020
Optimistic Policy Optimization with Bandit Feedback Yonathan Efroni Lior Shani Aviv A. Rosenberg Shie Mannor 56 90 0 19 Feb 2020
Adaptive Approximate Policy Iteration Botao Hao N. Lazić Yasin Abbasi-Yadkori Pooria Joulani Csaba Szepesvári 63 14 0 08 Feb 2020
Provably Efficient Exploration in Policy Optimization Qi Cai Zhuoran Yang Chi Jin Zhaoran Wang 66 281 0 12 Dec 2019
Momentum in Reinforcement Learning Nino Vieillard B. Scherrer Olivier Pietquin Matthieu Geist 70 35 0 21 Oct 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 88 125 0 26 Sep 2019
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Lior Shani Yonathan Efroni Shie Mannor 55 176 0 06 Sep 2019
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift Alekh Agarwal Sham Kakade Jason D. Lee G. Mahajan 69 321 0 01 Aug 2019
Understanding the impact of entropy on policy optimization Zafarali Ahmed Nicolas Le Roux Mohammad Norouzi Dale Schuurmans 73 237 0 27 Nov 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 73 478 0 14 Jun 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 148 1,143 0 02 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 529 19,265 0 20 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 126 1,331 0 30 May 2017
A unified view of entropy-regularized Markov decision processes Gergely Neu Anders Jonsson Vicencc Gómez 101 264 0 22 May 2017
Reward Augmented Maximum Likelihood for Neural Structured Prediction Mohammad Norouzi Samy Bengio Zhiwen Chen Navdeep Jaitly M. Schuster Yonghui Wu Dale Schuurmans 89 253 0 01 Sep 2016
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,796 0 19 Feb 2015
REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs Peter L. Bartlett Ambuj Tewari 93 286 0 09 May 2012

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