Image de couverture de livre

Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lassoued, Sofiene, Schwung, Andreas
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Policy-Based Reinforcement Learning with Action Masking for Dynamic Job Shop Scheduling under Uncertainty: Handling Random Arrivals and Machine Failures
par: Lassoued, Sofiene, et autres
Publié: (2026)

Policy-Based Deep Reinforcement Learning Hyperheuristics for Job-Shop Scheduling Problems
par: Lassoued, Sofiene, et autres
Publié: (2026)

Flexible Manufacturing Systems Intralogistics: Dynamic Optimization of AGVs and Tool Sharing Using Coloured-Timed Petri Nets and Actor-Critic RL with Actions Masking
par: Lassoued, Sofiene, et autres
Publié: (2026)

Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems
par: Yuwono, Steve, et autres
Publié: (2024)

Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning
par: Altinses, Diyar, et autres
Publié: (2026)

Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
par: Yuwono, Steve, et autres
Publié: (2024)

Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
par: Yuwono, Steve, et autres
Publié: (2024)

Stabilizing Multimodal Autoencoders: A Theoretical and Empirical Analysis of Fusion Strategies
par: Altinses, Diyar, et autres
Publié: (2025)

Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games
par: Yuwono, Steve, et autres
Publié: (2024)

RL-GPT: Integrating Reinforcement Learning and Code-as-policy
par: Liu, Shaoteng, et autres
Publié: (2024)

Reinforcement Learning Assisted Recursive QAOA
par: Patel, Yash J., et autres
Publié: (2022)

Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks
par: Sachweh, Timon, et autres
Publié: (2024)

RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
par: Bhatia, Abhinav, et autres
Publié: (2023)

RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
par: Chang, Fu-Chieh, et autres
Publié: (2024)

RL-Struct: A Lightweight Reinforcement Learning Framework for Reliable Structured Output in LLMs
par: Hu, Ruike, et autres
Publié: (2025)

Simulating Petri nets with Boolean Matrix Logic Programming
par: Ai, Lun, et autres
Publié: (2024)

RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach
par: Liu, Yingzhuo
Publié: (2024)

EchoRL: Reinforcement Learning via Rollout Echoing
par: Bi, Jinhe, et autres
Publié: (2026)

LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
par: Wu, Bo, et autres
Publié: (2025)

A Python toolkit for dealing with Petri nets over ontological graphs
par: Pancerz, Krzysztof
Publié: (2025)

VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
par: Lintunen, Erik M.
Publié: (2025)

Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method
par: Choi, Kyuwon, et autres
Publié: (2024)

AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
par: Lee, Dongsu, et autres
Publié: (2024)

Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework
par: He, Shuangshuang, et autres
Publié: (2025)

From Observations to Events: Event-Aware World Model for Reinforcement Learning
par: Peng, Zhao-Han, et autres
Publié: (2026)

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
par: Marchesini, Enrico, et autres
Publié: (2025)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
par: Xu, Yifan, et autres
Publié: (2025)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
par: Berto, Federico, et autres
Publié: (2023)

FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
par: Zhang, Xikai, et autres
Publié: (2026)

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning
par: Wang, Jichao, et autres
Publié: (2026)

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)
par: Adde, Nihal Acharya, et autres
Publié: (2025)

MIST-RL: Mutation-based Incremental Suite Testing via Reinforcement Learning
par: Zhu, Sicheng, et autres
Publié: (2026)

SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies
par: Samadi, Amir, et autres
Publié: (2024)

SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments
par: Ishida, Shu, et autres
Publié: (2024)

CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
par: Yao, Zhiyuan, et autres
Publié: (2026)

RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network
par: Meena, Yogesh Kumar, et autres
Publié: (2026)

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
par: Zhang, Rui, et autres
Publié: (2026)

AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning
par: Guo, Felicia B., et autres
Publié: (2026)

LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
par: Qiu, Ruiyu, et autres
Publié: (2025)

NurseSchedRL: Attention-Guided Reinforcement Learning for Nurse-Patient Assignment
par: Koduri, Harsha
Publié: (2025)