https://openreview.net/forum?id=wWMXtc4hTp&referrer=%5Bthe%20profile%20of%20Zhiguang%20Cao%5D(%2Fprofile%3Fid%3D~Zhiguang_Cao1)
Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems | OpenReview
Neural solvers based on the divide-and-conquer approach for Vehicle Routing Problems (VRPs) in general, and capacitated VRP (CVRP) in particular, integrates...
vehicle routing problemshierarchical learninggraph partition
https://arxiv.org/abs/2507.06449
[2507.06449] FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models
Abstract page for arXiv paper 2507.06449: FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models
hierarchical learningfederatedpruning
https://openreview.net/forum?id=JUXn1vXcrLA
ALMA: Hierarchical Learning for Composite Multi-Agent Tasks | OpenReview
We introduce a hierarchical MARL method for leveraging independent subtask structure in complex cooperative tasks.
hierarchical learningmulti agentalmacompositetasks
https://therealschoolhouston.org/
The Real School | A non-hierarchical learning environment in Houston, TX
A non-hierarchical learning environment in Houston, TX
the real schoolhierarchical learningnon
https://openreview.net/forum?id=9XieH21Tlf
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality |...
Prompt-based continual learning is an emerging direction in leveraging pre-trained knowledge for downstream continual learning, and has almost reached the...
hierarchical decompositioncontinual learningpromptbased
https://openreview.net/forum?id=ZcBhd1F7PA&referrer=%5Bthe%20profile%20of%20Aming%20WU%5D(%2Fprofile%3Fid%3D~Aming_WU2)
Hierarchical Multi-Grained Reasoning for Object Concept Learning | OpenReview
Human beings can easily understand object concepts involving attributes and affordances. Recently, to simulate this ability, Object Concept Learning (OCL) has...
concept learninghierarchicalmultigrainedreasoning
https://aclanthology.org/W18-5702/
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning -...
Giovanni Yoko Kristianto, Huiwen Zhang, Bin Tong, Makoto Iwayama, Yoshiyuki Kobayashi. Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International...
sub domain
https://openreview.net/forum?id=cUuXVaMmmv
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning |...
Discovering achievements with a hierarchical structure in procedurally generated environments presents a significant challenge. This requires an agent to...
reinforcement learningdiscoveringhierarchicalachievementsvia