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Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach
期刊论文
TRANSPORTATION RESEARCH PART B: METHODOLOGICAL, 2024, 卷号: 188
作者:
Ying, Chengshuo
;
Chow, Andy H.F.
;
Yan, Yimo
;
Kuo, Yong-Hong
;
Wang, Shouyang
Adobe PDF(8136Kb)
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收藏
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浏览/下载:275/2
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提交时间:2024/09/20
Light rail transit
Multilayer neural networks
Railroad transportation
Reinforcement learning
Markov Decision Processes
Multi agent
Multi-agent deep reinforcement learning
Policy optimization
Proximal policy optimization
Rail transit
Reinforcement learnings
Short-turning
Train rescheduling
Transit services
A Deep Reinforcement Learning Approach to Efficient Distributed Optimization
预印本
2023
作者:
Zhu, Daokuan
;
Lu, Jie
Adobe PDF(482Kb)
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收藏
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浏览/下载:396/1
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提交时间:2024/01/09
Distributed optimization
reinforcement learning
learning to optimize
proximal policy optimization
An intelligent process parameters optimization approach for directed energy deposition of nickel-based alloys using deep reinforcement learning
期刊论文
JOURNAL OF MANUFACTURING PROCESSES, 2023, 卷号: 120, 期号: 30 June 2024, 页码: 1130-1140
作者:
Shuai,Shi
;
Xuewen,Liu
;
Zhongan,Wang
;
Hai,Chang
;
Yingna,Wu
Adobe PDF(3961Kb)
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浏览/下载:404/3
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提交时间:2024/05/16
Cost effectiveness
Deep learning
Deposition
Heuristic methods
Nickel alloys
Optimization
Vickers hardness
Deep reinforcement learning
Directed energy
Directed energy deposition
Energy depositions
Policy optimization
Process parameters
Proximal policy optimization
Reinforcement learnings
Temperature simulator
Vickers hardness measurements
Online Nonstochastic Control with Adversarial and Static Constraints
会议论文
PROCEEDINGS OF MACHINE LEARNING RESEARCH, Honolulu, HI, United states, July 23, 2023 - July 29, 2023
作者:
Liu, Xin
;
Yang, Zixian
;
Ying, Lei
Adobe PDF(1822Kb)
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浏览/下载:155/0
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提交时间:2023/11/10
Constrained optimization
Linear control systems
Machine learning
Subroutines
Constraint violation
Control policy
Control problems
Cumulative cost
Linear controls
Non-stochastic
Online convex optimizations
State of the art
Static constraints
Sublinear
ORDER MATTERS: AGENT-BY-AGENT POLICY OPTIMIZATION
会议论文
11TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2023, Kigali, Rwanda, May 1, 2023 - May 5, 2023
作者:
Wang, Xihuai
;
Tian, Zheng
;
Wan, Ziyu
;
Wen, Ying
;
Wang, Jun
收藏
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浏览/下载:118/0
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提交时间:2024/08/09
Software agents
Sports
Coordination tasks
Monotonics
Multi agent
Non-stationarities
Performance
Policy agents
Policy optimization
Sequential update
Trust region algorithms
Update schemes
TRUST REGION POLICY OPTIMISATION IN MULTI-AGENT REINFORCEMENT LEARNING
会议论文
ICLR 2022 - 10TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, Virtual, Online, April 25, 2022 - April 29, 2022
作者:
Kuba, Jakub Grudzien
;
Chen, Ruiqing
;
Wen, Muning
;
Wen, Ying
;
Sun, Fanglei
Adobe PDF(1257Kb)
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浏览/下载:279/0
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提交时间:2023/04/28
Fertilizers
Game theory
Multi agent systems
Software agents
Heterogeneous agents
Learn+
Monotonics
Multi agent
Multi-agent reinforcement learning
Policy optimization
Property
Reinforcement learning agent
Trust region
Trust-region methods
A Functional Clipping Approach for Policy Optimization Algorithms
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 96056-96063
作者:
Wangshu Zhu
;
Andre Rosendo
Adobe PDF(4387Kb)
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浏览/下载:403/2
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提交时间:2021/07/30
Optimization
Task analysis
Reinforcement learning
Search problems
Linear programming
Licenses
Tuning
Machine learning
robot control
deep reinforcement learning
policy search algorithm
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