Advantage Amplification in Slowly Evolving Latent-State Environments

Advantage Amplification in Slowly Evolving Latent-State Environments

29 May 2019

Martin Mladenov

Dale Schuurmans

Craig Boutilier

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Papers citing "Advantage Amplification in Slowly Evolving Latent-State Environments"

15 / 15 papers shown

Title
Temporal Regularization in Markov Decision Process Pierre Thodoroff A. Durand Joelle Pineau Doina Precup 54 15 0 01 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform J. Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye Zhengxing Chen Scott Fujimoto 60 139 0 01 Nov 2018
Reinforcement Learning based Recommender System using Biclustering Technique Sungwoon Choi Heonseok Ha Uiwon Hwang Chanju Kim Jung-Woo Ha Sungroh Yoon OffRL 68 70 0 17 Jan 2018
Deep Reinforcement Learning for List-wise Recommendations Xiangyu Zhao Li Zhang Yue Zhao Zhuoye Ding Dawei Yin Jiliang Tang 53 173 0 30 Dec 2017
On overfitting and asymptotic bias in batch reinforcement learning with partial observability Vincent François-Lavet Guillaume Rabusseau Joelle Pineau D. Ernst R. Fonteneau OffRL 56 34 0 22 Sep 2017
Predictive State Recurrent Neural Networks Carlton Downey Ahmed S. Hefny Boyue Li Byron Boots Geoffrey J. Gordon AI4TS 64 57 0 25 May 2017
Reinforcement Learning with a Corrupted Reward Channel Tom Everitt Victoria Krakovna Laurent Orseau Marcus Hutter Shane Legg 90 102 0 23 May 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 161 472 0 28 Feb 2017
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 84 338 0 28 Dec 2015
Increasing the Action Gap: New Operators for Reinforcement Learning Marc G. Bellemare Georg Ostrovski A. Guez Philip S. Thomas Rémi Munos 74 157 0 15 Dec 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems Ronald E. Parr 76 94 0 30 Jan 2013
Hierarchical Solution of Markov Decision Processes using Macro-actions Milos Hauskrecht Nicolas Meuleau L. Kaelbling T. Dean Craig Boutilier 94 328 0 30 Jan 2013
Tractable Inference for Complex Stochastic Processes Xavier Boyen D. Koller TPM 92 659 0 30 Jan 2013
An MDP-based Recommender System Guy Shani Ronen I. Brafman David Heckerman LRM 109 972 0 12 Dec 2012

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