Saved in:
| Main Author: | Surynek, Pavel |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.12224 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Object Packing and Scheduling for Sequential 3D Printing: a Linear Arithmetic Model and a CEGAR-inspired Optimal Solver
by: Surynek, Pavel, et al.
Published: (2025)
by: Surynek, Pavel, et al.
Published: (2025)
Multi-agent Path Finding in Continuous Environment
by: Janovská, Kristýna, et al.
Published: (2024)
by: Janovská, Kristýna, et al.
Published: (2024)
TriCEGAR: A Trace-Driven Abstraction Mechanism for Agentic AI
by: Koohestani, Roham, et al.
Published: (2026)
by: Koohestani, Roham, et al.
Published: (2026)
OPA-Pack: Object-Property-Aware Robotic Bin Packing
by: Pan, Jia-Hui, et al.
Published: (2025)
by: Pan, Jia-Hui, et al.
Published: (2025)
Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling
by: El-Kholany, Mohammed M. S., et al.
Published: (2022)
by: El-Kholany, Mohammed M. S., et al.
Published: (2022)
Solving the Aircraft Disassembly Scheduling Problem
by: Thomas, Charles, et al.
Published: (2026)
by: Thomas, Charles, et al.
Published: (2026)
Automated Classification of Bitmap Images using Decision Trees
by: Pavel Surynek
Published: (2011)
by: Pavel Surynek
Published: (2011)
Beyond ESG Scores: Learning Dynamic Constraints for Sequential Portfolio Optimization
by: Li, Xin, et al.
Published: (2026)
by: Li, Xin, et al.
Published: (2026)
Responsibility Gap and Diffusion in Sequential Decision-Making Mechanisms
by: Jiang, Junli, et al.
Published: (2025)
by: Jiang, Junli, et al.
Published: (2025)
Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem
by: Quan, Guorui, et al.
Published: (2025)
by: Quan, Guorui, et al.
Published: (2025)
DSevolve: Enabling Real-Time Adaptive Scheduling on Dynamic Shop Floor with LLM-Evolved Heuristic Portfolios
by: Huang, Jin, et al.
Published: (2026)
by: Huang, Jin, et al.
Published: (2026)
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization
by: Acero, Fernando, et al.
Published: (2024)
by: Acero, Fernando, et al.
Published: (2024)
Learning to Solve Job Shop Scheduling under Uncertainty
by: Infantes, Guillaume, et al.
Published: (2024)
by: Infantes, Guillaume, et al.
Published: (2024)
Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy
by: Lan, Guanzhou, et al.
Published: (2025)
by: Lan, Guanzhou, et al.
Published: (2025)
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
by: Xiong, Heng, et al.
Published: (2024)
by: Xiong, Heng, et al.
Published: (2024)
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
by: Romero, Sebastián V., et al.
Published: (2023)
by: Romero, Sebastián V., et al.
Published: (2023)
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing
by: Jadhav, Yayati, et al.
Published: (2024)
by: Jadhav, Yayati, et al.
Published: (2024)
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
by: Li, Yiheng, et al.
Published: (2024)
by: Li, Yiheng, et al.
Published: (2024)
MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards
by: Huang, Yuming, et al.
Published: (2023)
by: Huang, Yuming, et al.
Published: (2023)
Reaching New Heights in Multi-Agent Collective Construction
by: Rameš, Martin, et al.
Published: (2024)
by: Rameš, Martin, et al.
Published: (2024)
ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection
by: Cao, Shijie, et al.
Published: (2025)
by: Cao, Shijie, et al.
Published: (2025)
SlimPack: Fine-Grained Asymmetric Packing for Balanced and Efficient Variable-Length LLM Training
by: Liu, Yuliang, et al.
Published: (2025)
by: Liu, Yuliang, et al.
Published: (2025)
Neurophysiological Characteristics of Adaptive Reasoning for Creative Problem-Solving Strategy
by: Kim, Jun-Young, et al.
Published: (2025)
by: Kim, Jun-Young, et al.
Published: (2025)
Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search
by: Fang, Jiangyi, et al.
Published: (2026)
by: Fang, Jiangyi, et al.
Published: (2026)
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
by: Echeverria, Imanol, et al.
Published: (2024)
by: Echeverria, Imanol, et al.
Published: (2024)
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
by: Kelvinius, Filip Ekström, et al.
Published: (2025)
by: Kelvinius, Filip Ekström, et al.
Published: (2025)
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
by: Dou, Shihan, et al.
Published: (2025)
by: Dou, Shihan, et al.
Published: (2025)
Learning Object-Centric Spatial Reasoning for Sequential Manipulation in Cluttered Environments
by: Eze, Chrisantus, et al.
Published: (2026)
by: Eze, Chrisantus, et al.
Published: (2026)
C-Pack: Packed Resources For General Chinese Embeddings
by: Xiao, Shitao, et al.
Published: (2023)
by: Xiao, Shitao, et al.
Published: (2023)
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
by: Zhang, Cong, et al.
Published: (2024)
by: Zhang, Cong, et al.
Published: (2024)
Multi-Object Tracking based on Imaging Radar 3D Object Detection
by: Palmer, Patrick, et al.
Published: (2024)
by: Palmer, Patrick, et al.
Published: (2024)
Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
by: Liu, Anbang, et al.
Published: (2025)
by: Liu, Anbang, et al.
Published: (2025)
Regularization in Spider-Style Strategy Discovery and Schedule Construction
by: Bártek, Filip, et al.
Published: (2024)
by: Bártek, Filip, et al.
Published: (2024)
Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects
by: Gupta, Anmol, et al.
Published: (2025)
by: Gupta, Anmol, et al.
Published: (2025)
On the Adversarial Robustness of Camera-based 3D Object Detection
by: Xie, Shaoyuan, et al.
Published: (2023)
by: Xie, Shaoyuan, et al.
Published: (2023)
Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs
by: Qi, Shihao, et al.
Published: (2025)
by: Qi, Shihao, et al.
Published: (2025)
No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding
by: Fu, Yanchang, et al.
Published: (2025)
by: Fu, Yanchang, et al.
Published: (2025)
DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation
by: Zhang, Haoyi, et al.
Published: (2024)
by: Zhang, Haoyi, et al.
Published: (2024)
Learning to Solve Resource-Constrained Project Scheduling Problems with Duration Uncertainty using Graph Neural Networks
by: Infantes, Guillaume, et al.
Published: (2025)
by: Infantes, Guillaume, et al.
Published: (2025)
Portfolio Reinforcement Learning with Scenario-Context Rollout
by: Bendatu, Vanya Priscillia, et al.
Published: (2026)
by: Bendatu, Vanya Priscillia, et al.
Published: (2026)
Similar Items
-
Object Packing and Scheduling for Sequential 3D Printing: a Linear Arithmetic Model and a CEGAR-inspired Optimal Solver
by: Surynek, Pavel, et al.
Published: (2025) -
Multi-agent Path Finding in Continuous Environment
by: Janovská, Kristýna, et al.
Published: (2024) -
TriCEGAR: A Trace-Driven Abstraction Mechanism for Agentic AI
by: Koohestani, Roham, et al.
Published: (2026) -
OPA-Pack: Object-Property-Aware Robotic Bin Packing
by: Pan, Jia-Hui, et al.
Published: (2025) -
Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling
by: El-Kholany, Mohammed M. S., et al.
Published: (2022)