ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.10641
  4. Cited By
ORL: Reinforcement Learning Benchmarks for Online Stochastic
  Optimization Problems

ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems

24 November 2019
Bharathan Balaji
Jordan Bell-Masterson
Enes Bilgin
Andreas C. Damianou
Pablo Moreno Garcia
Arpit Jain
Runfei Luo
Alvaro Maggiar
Balakrishnan Narayanaswamy
Chun Jimmie Ye
    OffRL
ArXivPDFHTML

Papers citing "ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems"

4 / 4 papers shown
Title
Deep Inventory Management
Deep Inventory Management
Dhruv Madeka
Kari Torkkola
Carson Eisenach
Anna Luo
Dean Phillips Foster
Sham M. Kakade
BDL
42
15
0
06 Oct 2022
Neural Stochastic Dual Dynamic Programming
Neural Stochastic Dual Dynamic Programming
H. Dai
Yuan Xue
Zia Syed
Dale Schuurmans
Bo Dai
24
14
0
01 Dec 2021
An Overview and Experimental Study of Learning-based Optimization
  Algorithms for Vehicle Routing Problem
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
64
67
0
15 Jul 2021
Reinforcement Learning for Ridesharing: An Extended Survey
Reinforcement Learning for Ridesharing: An Extended Survey
Zhiwei Qin
Hongtu Zhu
Jieping Ye
39
84
0
03 May 2021
1