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A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation

6 March 2024

Papers citing "A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation"

35 / 35 papers shown

Title
Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks Leonie von Wahl Nicolas Tempelmeier Ashutosh Sao Elena Demidova 24 8 0 13 Jun 2022
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 63 625 0 13 Aug 2021
A Deep Value-network Based Approach for Multi-Driver Order Dispatching Xiaocheng Tang Zhiwei Qin Fan Zhang Zhaodong Wang Zhe Xu Yintai Ma Hongtu Zhu Jieping Ye OffRL 54 182 0 08 Jun 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 189 242 0 06 Nov 2020
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning Marina Haliem G. Mani Vaneet Aggarwal Bharat K. Bhargava 71 63 0 05 Oct 2020
Simulating multi-exit evacuation using deep reinforcement learning Dong Xu Xiao Shi Huang Joseph D Mango Xiang Li Zhenlong Li 20 19 0 11 Jul 2020
Self-Supervised Reinforcement Learning for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose SSL OffRL 137 201 0 10 Jun 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 347 1,687 0 02 Feb 2020
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem J. Holler Risto Vuorio Zhiwei Qin Xiaocheng Tang Yan Jiao Tiancheng Jin Satinder Singh Chenxi Wang Jieping Ye 36 93 0 25 Nov 2019
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning Ashutosh Singh Abubakr O. Alabbasi Vaneet Aggarwal 35 46 0 30 Oct 2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching Ming Zhou Jiarui Jin Weinan Zhang Zhiwei Qin Yan Jiao Chenxi Wang Guobin Wu Yong Yu Jieping Ye 46 86 0 07 Oct 2019
Survey on Evaluation Methods for Dialogue Systems Jan Deriu Álvaro Rodrigo Arantxa Otegi Guillermo Echegoyen S. Rosset Eneko Agirre Mark Cieliebak 79 284 0 10 May 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 61 266 0 20 Apr 2019
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System Yujie Chen Yu Qian Yichen Yao Zili Wu Rongqi Li Yinzhi Zhou Haoyuan Hu Yinghui Xu 53 24 0 07 Mar 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 132 866 0 01 Mar 2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning Minne Li Zhiwei Qin Qin Yan Jiao Yaodong Yang Zhichen Gong Jun Wang Chenxi Wang Guobin Wu Jieping Ye 50 198 0 31 Jan 2019
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 79 418 0 07 Dec 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 112 727 0 03 Jul 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 137 532 0 14 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 314 8,396 0 04 Jan 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 92 762 0 27 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 122 2,821 0 19 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 523 19,237 0 20 Jul 2017
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 71 107 0 06 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,501 0 07 Jun 2017
Deep Reinforcement Learning framework for Autonomous Driving Ahmad El-Sallab Mohammed Abdou E. Perot S. Yogamani 89 972 0 08 Apr 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 181 1,541 0 25 Jan 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 108 840 0 11 Oct 2016
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 89 585 0 18 Sep 2016
Dynamic Frame skip Deep Q Network A. Srinivas Sahil Sharma Balaraman Ravindran 30 23 0 17 May 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 202 8,875 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,764 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,789 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,658 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 323 13,272 0 09 Sep 2015