Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Po-Shao, Yeh, Jia-Fong, Chen, Yi-Ting, Hsu, Winston H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation
by: Lin, Tzu-Jung, et al.
Published: (2025)
by: Lin, Tzu-Jung, et al.
Published: (2025)
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding
by: Faure, Gueter Josmy, et al.
Published: (2026)
by: Faure, Gueter Josmy, et al.
Published: (2026)
ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints
by: Chen, Pei-An, et al.
Published: (2026)
by: Chen, Pei-An, et al.
Published: (2026)
Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing
by: Zhao, Yong, et al.
Published: (2024)
by: Zhao, Yong, et al.
Published: (2024)
HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics
by: Faure, Gueter Josmy, et al.
Published: (2024)
by: Faure, Gueter Josmy, et al.
Published: (2024)
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling
by: Lin, ChungYi, et al.
Published: (2024)
by: Lin, ChungYi, et al.
Published: (2024)
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems
by: Fu, Qingxu, et al.
Published: (2024)
by: Fu, Qingxu, et al.
Published: (2024)
SceneFunRI: Reasoning the Invisible for Task-Driven Functional Object Localization
by: Chen, Posheng, et al.
Published: (2026)
by: Chen, Posheng, et al.
Published: (2026)
MovieCORE: COgnitive REasoning in Movies
by: Faure, Gueter Josmy, et al.
Published: (2025)
by: Faure, Gueter Josmy, et al.
Published: (2025)
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)
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2024)
by: Bai, Chenjia, et al.
Published: (2024)
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
by: Lin, ChungYi, et al.
Published: (2024)
by: Lin, ChungYi, et al.
Published: (2024)
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
by: Rietz, Finn, et al.
Published: (2023)
by: Rietz, Finn, et al.
Published: (2023)
Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression
by: Xu, Zixiang, et al.
Published: (2025)
by: Xu, Zixiang, et al.
Published: (2025)
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
by: Feng, Jinyuan, et al.
Published: (2024)
by: Feng, Jinyuan, et al.
Published: (2024)
Causal Information Prioritization for Efficient Reinforcement Learning
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning
by: Liu, Shaohuai, et al.
Published: (2026)
by: Liu, Shaohuai, et al.
Published: (2026)
Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
by: Zhang, Yulai, et al.
Published: (2026)
by: Zhang, Yulai, et al.
Published: (2026)
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
by: Lahoti, Aakash, et al.
Published: (2024)
by: Lahoti, Aakash, et al.
Published: (2024)
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
by: Xie, Hong, et al.
Published: (2025)
by: Xie, Hong, et al.
Published: (2025)
Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control
by: Vacher, Quentin, et al.
Published: (2026)
by: Vacher, Quentin, et al.
Published: (2026)
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
by: Liu, Jinyi, et al.
Published: (2023)
by: Liu, Jinyi, et al.
Published: (2023)
Speculative Sampling with Reinforcement Learning
by: Wang, Chenan, et al.
Published: (2026)
by: Wang, Chenan, et al.
Published: (2026)
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)
by: Yang, Tong, et al.
Published: (2023)
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025)
by: Lin, Runze, et al.
Published: (2025)
From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learning
by: Xu, Suping, et al.
Published: (2025)
by: Xu, Suping, et al.
Published: (2025)
Integrating Domain Knowledge for handling Limited Data in Offline RL
by: Gangopadhyay, Briti, et al.
Published: (2024)
by: Gangopadhyay, Briti, et al.
Published: (2024)
Augmenting Offline RL with Unlabeled Data
by: Wang, Zhao, et al.
Published: (2024)
by: Wang, Zhao, et al.
Published: (2024)
Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
by: Speckmann, Marc, et al.
Published: (2025)
by: Speckmann, Marc, et al.
Published: (2025)
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
by: Jia, Zixia, et al.
Published: (2024)
by: Jia, Zixia, et al.
Published: (2024)
Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction
by: Huang, Po-Hsuan, et al.
Published: (2024)
by: Huang, Po-Hsuan, et al.
Published: (2024)
A Robust and Efficient Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Huang, Sheng-You, et al.
Published: (2026)
by: Huang, Sheng-You, et al.
Published: (2026)
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks
by: Wan, Yi, et al.
Published: (2025)
by: Wan, Yi, et al.
Published: (2025)
Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
by: Zhou, Xuan, et al.
Published: (2024)
by: Zhou, Xuan, et al.
Published: (2024)
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
by: Zhang, Grace, et al.
Published: (2023)
by: Zhang, Grace, et al.
Published: (2023)
Efficient Learning in Chinese Checkers: Comparing Parameter Sharing in Multi-Agent Reinforcement Learning
by: Adhikari, Noah, et al.
Published: (2024)
by: Adhikari, Noah, et al.
Published: (2024)
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization
by: Fontana, Maxime, et al.
Published: (2024)
by: Fontana, Maxime, et al.
Published: (2024)
ALPACA: A Reinforcement Learning Environment for Medication Repurposing and Treatment Optimization in Alzheimer's Disease
by: Brady, Nolan, et al.
Published: (2026)
by: Brady, Nolan, et al.
Published: (2026)
Similar Items
-
Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation
by: Lin, Tzu-Jung, et al.
Published: (2025) -
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding
by: Faure, Gueter Josmy, et al.
Published: (2026) -
ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints
by: Chen, Pei-An, et al.
Published: (2026) -
Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing
by: Zhao, Yong, et al.
Published: (2024) -
HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics
by: Faure, Gueter Josmy, et al.
Published: (2024)