Modular Multi-Objective Deep Reinforcement Learning with Decision Values

Modular Multi-Objective Deep Reinforcement Learning with Decision Values

Saved in:

Bibliographic Details
Main Author:	Tomasz Tajmajer
Format:	Article
Language:	English
Published:	Polish Information Processing Society 2018-09-01
Series:	Annals of computer science and information systems
Online Access:	https://annals-csis.org/Volume_15/drp/pdf/231.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep reinforcement learning for conservation decisions
by: Marcus Lapeyrolerie, et al.
Published: (2022-11-01)

3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning
by: Minho Cho, et al.
Published: (2025-01-01)

Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem
by: Sohyun Nam, et al.
Published: (2024-01-01)

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing
by: Sudheer Mangalampalli, et al.
Published: (2024-01-01)

A framework for post-prognosis decision-making utilizing deep reinforcement learning considering imperfect maintenance decisions and Value of Information
by: P. Komninos, et al.
Published: (2025-09-01)

Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence
by: Ali Hammoud, et al.
Published: (2025-01-01)

Multi-objective Design and Optimization for Supply Chain of Modular Methanol Productions
by: Weibin Xu, et al.
Published: (2024-12-01)

Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning
by: Jiteng Chen, et al.
Published: (2025-03-01)

A novel deep reinforcement learning‐based algorithm for multi‐objective energy‐efficient flow‐shop scheduling
by: Peng Liang, et al.
Published: (2024-12-01)

Hypervolume-Based Multi-Objective Optimization Method Applying Deep Reinforcement Learning to the Optimization of Turbine Blade Shape
by: Kazuo Yonekura, et al.
Published: (2024-09-01)

Deep reinforcement learning model for Multi-Ship collision avoidance decision making design implementation and performance analysis
by: Rongjun Pan, et al.
Published: (2025-07-01)

A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing
by: Peng Zhang, et al.
Published: (2025-05-01)

Multi-Objective-Based Multi-Heterogeneous- Agent Deep Reinforcement Learning for Minimization of Voltage Deviation and Operation Cost in Active Distribution System
by: Anurak Deanseekeaw, et al.
Published: (2025-01-01)

Multi-Objective Scheduling for Green Flexible Assembly Job-Shop System via Multi-Agent Deep Reinforcement Learning With Game Theory
by: Xiao Wang, et al.
Published: (2025-01-01)

Deep Reinforcement Learning Object Tracking Based on Actor-Double Critic Network
by: Jing Xin, et al.
Published: (2023-12-01)

A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems
by: Yuanyu Ge, et al.
Published: (2025-06-01)

Adaptive Transit Signal Priority Control for Traffic Safety and Efficiency Optimization: A Multi-Objective Deep Reinforcement Learning Framework
by: Yuxuan Dong, et al.
Published: (2024-12-01)

Underwater Acoustic MAC Protocol for Multi-Objective Optimization Based on Multi-Agent Reinforcement Learning
by: Jinfang Jiang, et al.
Published: (2025-02-01)

Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning
by: Zhenhai Gao, et al.
Published: (2025-08-01)

A Deep Reinforcement Learning-Based Decision-Making Approach for Routing Problems
by: Dapeng Yan, et al.
Published: (2025-04-01)

A Practical Solution to Handling Randomness and Imperfect Information in Monte Carlo Tree Search
by: Maciej Świechowski, et al.
Published: (2021-09-01)

Multi-wavelength optical information processing with deep reinforcement learning
by: Qiuquan Yan, et al.
Published: (2025-04-01)

An improved multi-object instance segmentation based on deep learning
by: Nawaf Alshdaifat, et al.
Published: (2022-03-01)

Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China
by: Yanna Gao, et al.
Published: (2025-07-01)

MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing
by: Hang Yu, et al.
Published: (2024-11-01)

Perception Error-resistant Air Combat Maneuvering Decisions Based on Deep Reinforcement Learning
by: Chengbin TIAN, et al.
Published: (2024-11-01)

A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling
by: Jian Li, et al.
Published: (2025-07-01)

Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes
by: Akshay Paranjape, et al.
Published: (2025-06-01)

Deep Reinforcement Learning in Multi-UAV Air Combat Maneuver Decision-Making: A Review of Key Techniques in Practice and Future Prospects
by: Fang Siyu, Zhang Zhenhua, Niu Jinglong, Bian Jiang, Xu Changyi, Wu Yuhu
Published: (2025-04-01)

Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning
by: Biao ZHANG, et al.
Published: (2022-12-01)

Enhancing Energy Generation While Mitigating Noise Emissions in Wind Turbines Through Multi‐Objective Optimization: A Deep Reinforcement Learning Approach
by: Martín Frutos, et al.
Published: (2025-08-01)

Deep Reinforcement Learning for Multi-User Massive MIMO With Channel Aging
by: Zhenyuan Feng, et al.
Published: (2023-01-01)

Multi-Underwater Target Interception Strategy Based on Deep Reinforcement Learning
by: Wenhao GAN, et al.
Published: (2025-04-01)

Voltage Control Based on Multi-Agent Safe Deep Reinforcement Learning
by: Yi ZENG, et al.
Published: (2025-02-01)

Distributed interference coordination based on multi-agent deep reinforcement learning
by: Tingting LIU, et al.
Published: (2020-07-01)

Distributed interference coordination based on multi-agent deep reinforcement learning
by: Tingting LIU, et al.
Published: (2020-07-01)

Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.
by: Huu Hoang, et al.
Published: (2025-03-01)

A cooperative jamming decision-making method based on multi-agent reinforcement learning
by: Bingchen Cai, et al.
Published: (2025-02-01)

Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks
by: Andre Kuroswiski, et al.
Published: (2024-05-01)

Security decision method for the edge of multi-layer satellite network based on reinforcement learning
by: Peiliang ZUO, et al.
Published: (2022-06-01)