Expert-Supervised Reinforcement Learning for Offline Policy Learning and
Evaluation

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation

23 June 2020

W. AaronSonabend

Leo Anthony Celi

Tianxi Cai

Peter Szolovits

Papers citing "Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation"

16 / 16 papers shown

Title
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Çağlar Gülçehre Ziyun Wang Alexander Novikov T. Paine Sergio Gomez Colmenarejo ... Matthew W. Hoffman Ofir Nachum George Tucker N. Heess Nando de Freitas OffRL 52 71 0 24 Jun 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 77 662 0 12 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 192 1,338 0 15 Apr 2020
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 83 678 0 26 Nov 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 55 182 0 03 Oct 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 102 1,044 0 03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 183 1,586 0 07 Dec 2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings Omer Gottesman Fredrik D. Johansson Joshua Meier Jack Dent Donghun Lee ... Matthieu Komorowski A. Faisal Leo Anthony Celi David Sontag Finale Doshi-Velez OOD OffRL 27 133 0 31 May 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 60 450 0 28 Feb 2018
The Uncertainty Bellman Equation and Exploration Brendan O'Donoghue Ian Osband Rémi Munos Volodymyr Mnih 61 189 0 15 Sep 2017
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach Aniruddh Raghu Matthieu Komorowski Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 38 193 0 23 May 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 76 257 0 01 Jul 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning Philip S. Thomas Emma Brunskill OffRL 292 573 0 04 Apr 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning Nan Jiang Lihong Li OffRL 167 621 0 11 Nov 2015
(More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband Daniel Russo Benjamin Van Roy 105 529 0 04 Jun 2013
A Bayesian Sampling Approach to Exploration in Reinforcement Learning J. Asmuth Lihong Li Michael L. Littman A. Nouri David Wingate BDL 79 189 0 09 May 2012

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