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2207.06272
Cited By
Hindsight Learning for MDPs with Exogenous Inputs
13 July 2022
Sean R. Sinclair
Felipe Vieira Frujeri
Ching-An Cheng
Luke Marshall
Hugo Barbalho
Jingling Li
Jennifer Neville
Ishai Menache
Adith Swaminathan
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Papers citing
"Hindsight Learning for MDPs with Exogenous Inputs"
24 / 24 papers shown
Title
Improving Online Algorithms via ML Predictions
Ravi Kumar
Manish Purohit
Zoya Svitkina
67
318
0
25 Jul 2024
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
108
0
0
04 Feb 2023
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
Yonathan Efroni
Dylan J. Foster
Dipendra Kumar Misra
A. Krishnamurthy
John Langford
OffRL
69
25
0
09 Jun 2022
The Statistical Complexity of Interactive Decision Making
Dylan J. Foster
Sham Kakade
Jian Qian
Alexander Rakhlin
370
180
0
27 Dec 2021
Stateful Offline Contextual Policy Evaluation and Learning
Nathan Kallus
Angela Zhou
OffRL
39
7
0
19 Oct 2021
Heuristic-Guided Reinforcement Learning
Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
OffRL
74
62
0
05 Jun 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad
Banghua Zhu
Cong Ma
Jiantao Jiao
Stuart J. Russell
OffRL
215
289
0
22 Mar 2021
Universal Trading for Order Execution with Oracle Policy Distillation
Yuchen Fang
Kan Ren
Weiqing Liu
Dong Zhou
Weinan Zhang
Jiang Bian
Yong Yu
Tie-Yan Liu
OffRL
76
46
0
28 Jan 2021
Robust Asymmetric Learning in POMDPs
Andrew Warrington
J. Lavington
Adam Scibior
Mark Schmidt
Frank Wood
35
31
0
31 Dec 2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Dong Chen
Kaian Chen
Tianshu Chu
Rui Yao
F. Qiu
Kaixiang Lin
53
67
0
24 Nov 2020
OR-Gym: A Reinforcement Learning Library for Operations Research Problems
Christian D. Hubbs
Hector D. Perez
Owais Sarwar
N. Sahinidis
I. Grossmann
J. Wassick
OffRL
AI4CE
39
74
0
14 Aug 2020
Queueing Network Controls via Deep Reinforcement Learning
J. Dai
Mark O. Gluzman
OffRL
104
51
0
31 Jul 2020
Training Agents using Upside-Down Reinforcement Learning
R. Srivastava
Pranav Shyam
Filipe Wall Mutz
Wojciech Ja'skowski
Jürgen Schmidhuber
OffRL
68
126
0
05 Dec 2019
Online Allocation and Pricing: Constant Regret via Bellman Inequalities
Alberto Vera
Siddhartha Banerjee
I. Gurvich
OffRL
43
50
0
14 Jun 2019
Reinforcement Learning for Integer Programming: Learning to Cut
Yunhao Tang
Shipra Agrawal
Yuri Faenza
AI4CE
58
172
0
11 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRL
BDL
226
1,613
0
07 Dec 2018
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
OffRL
78
646
0
03 Oct 2018
Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method
Haoyuan Hu
Xiaodong Zhang
Xiaowei Yan
Longfei Wang
Yinghui Xu
57
129
0
20 Aug 2017
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas W. Anthony
Zheng Tian
David Barber
100
396
0
23 May 2017
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
158
1,490
0
29 Nov 2016
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
167
7,641
0
22 Sep 2015
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
118
3,055
0
09 Jun 2015
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stéphane Ross
J. Andrew Bagnell
OffRL
147
264
0
23 Jun 2014
Polynomial-Time Approximation Schemes for Knapsack and Related Counting Problems using Branching Programs
Parikshit Gopalan
Adam R. Klivans
Raghu Meka
56
27
0
18 Aug 2010
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