Saved in:
| Main Authors: | Liao, Peng, Wang, XiLu, Jin, Yaochu, Du, WenLi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.13122 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
by: Peng, Liu, et al.
Published: (2025)
by: Peng, Liu, et al.
Published: (2025)
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving
by: Madjid, Nadya Abdel, et al.
Published: (2025)
by: Madjid, Nadya Abdel, et al.
Published: (2025)
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
by: Yan, Xueming, et al.
Published: (2024)
by: Yan, Xueming, et al.
Published: (2024)
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
by: Zhang, Wanting, et al.
Published: (2024)
by: Zhang, Wanting, et al.
Published: (2024)
MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
by: Büssing, Jan, et al.
Published: (2026)
by: Büssing, Jan, et al.
Published: (2026)
MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
by: Chen, Zixuan, et al.
Published: (2026)
by: Chen, Zixuan, et al.
Published: (2026)
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)
by: Hu, Tianmeng, et al.
Published: (2026)
MO-SeGMan: Rearrangement Planning Framework for Multi Objective Sequential and Guided Manipulation in Constrained Environments
by: Tuncer, Cankut Bora, et al.
Published: (2025)
by: Tuncer, Cankut Bora, et al.
Published: (2025)
HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
by: Yan, Yuping, et al.
Published: (2026)
by: Yan, Yuping, et al.
Published: (2026)
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection
by: Ming, Fei, et al.
Published: (2024)
by: Ming, Fei, et al.
Published: (2024)
LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
by: Yan, Xueming, et al.
Published: (2025)
by: Yan, Xueming, et al.
Published: (2025)
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
by: Yuen, Sizhe, et al.
Published: (2025)
by: Yuen, Sizhe, et al.
Published: (2025)
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping
by: Liu, Chanjuan, et al.
Published: (2024)
by: Liu, Chanjuan, et al.
Published: (2024)
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
by: Pan, Chaofan, et al.
Published: (2024)
by: Pan, Chaofan, et al.
Published: (2024)
Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation
by: Yue, Peng, et al.
Published: (2024)
by: Yue, Peng, et al.
Published: (2024)
A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
by: Wei, Zhao, et al.
Published: (2025)
by: Wei, Zhao, et al.
Published: (2025)
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
by: Jin, Yaochu, et al.
Published: (2024)
by: Jin, Yaochu, et al.
Published: (2024)
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
by: Fang, Wenxuan, et al.
Published: (2024)
by: Fang, Wenxuan, et al.
Published: (2024)
Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search
by: Zhang, Haoyu, et al.
Published: (2026)
by: Zhang, Haoyu, et al.
Published: (2026)
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024)
by: Ma, Haozhe, et al.
Published: (2024)
Federated Loss Exploration for Improved Convergence on Non-IID Data
by: Internò, Christian, et al.
Published: (2025)
by: Internò, Christian, et al.
Published: (2025)
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data
by: Yan, Yuping, et al.
Published: (2025)
by: Yan, Yuping, et al.
Published: (2025)
FedSlate:A Federated Deep Reinforcement Learning Recommender System
by: Deng, Yongxin, et al.
Published: (2024)
by: Deng, Yongxin, et al.
Published: (2024)
Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical Memory
by: Li, Ruiyin, et al.
Published: (2026)
by: Li, Ruiyin, et al.
Published: (2026)
MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
by: Li, Ruiyin, et al.
Published: (2025)
by: Li, Ruiyin, et al.
Published: (2025)
Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
by: Chen, Xinan, et al.
Published: (2025)
by: Chen, Xinan, et al.
Published: (2025)
Multi-Task Learning Using Uncertainty to Weigh Losses for Heterogeneous Face Attribute Estimation
by: Yuan, Huaqing, et al.
Published: (2024)
by: Yuan, Huaqing, et al.
Published: (2024)
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
by: Terekhov, Mikhail, et al.
Published: (2024)
by: Terekhov, Mikhail, et al.
Published: (2024)
Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024)
by: Xue, Ke, et al.
Published: (2024)
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
by: Hotegni, S. S., et al.
Published: (2023)
by: Hotegni, S. S., et al.
Published: (2023)
RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
by: Tang, Yimin, et al.
Published: (2025)
by: Tang, Yimin, et al.
Published: (2025)
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
by: Wu, Leming, et al.
Published: (2025)
by: Wu, Leming, et al.
Published: (2025)
Multi-Task Learning with Multi-Task Optimization
by: Bai, Lu, et al.
Published: (2024)
by: Bai, Lu, et al.
Published: (2024)
HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork
by: Lv, Jindi, et al.
Published: (2025)
by: Lv, Jindi, et al.
Published: (2025)
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
by: Zhao, Yiyang, et al.
Published: (2024)
by: Zhao, Yiyang, et al.
Published: (2024)
Biologically Plausible Brain Graph Transformer
by: Peng, Ciyuan, et al.
Published: (2025)
by: Peng, Ciyuan, et al.
Published: (2025)
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
by: Wang, Wei-Yao, et al.
Published: (2023)
by: Wang, Wei-Yao, et al.
Published: (2023)
Continual Knowledge Adaptation for Reinforcement Learning
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2024)
by: Zhu, Liwen, et al.
Published: (2024)
Similar Items
-
Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
by: Peng, Liu, et al.
Published: (2025) -
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving
by: Madjid, Nadya Abdel, et al.
Published: (2025) -
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
by: Yan, Xueming, et al.
Published: (2024) -
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
by: Zhang, Wanting, et al.
Published: (2024) -
MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
by: Büssing, Jan, et al.
Published: (2026)