PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem
cs.LG, cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
- Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning
- Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
- Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions
- Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
- Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs
- Conservative Q-Learning for Offline Reinforcement Learning
- AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
- How Powerful are Graph Neural Networks?
- Off-Policy Deep Reinforcement Learning without Exploration
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