| Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling | May 16, 2022 | Combinatorial OptimizationJob Shop Scheduling | CodeCode Available | 1 |
| Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism | Jan 3, 2022 | Deep Reinforcement LearningGraph Representation Learning | CodeCode Available | 1 |
| An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents | Oct 18, 2021 | Deep Reinforcement LearningJob Shop Scheduling | CodeCode Available | 1 |
| ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning | Jun 6, 2021 | Decision MakingGraph Attention | CodeCode Available | 1 |
| A Reinforcement Learning Environment For Job-Shop Scheduling | Apr 8, 2021 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 |
| Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning | Oct 23, 2020 | Deep Reinforcement LearningGraph Neural Network | CodeCode Available | 1 |
| REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models | Jun 9, 2025 | BenchmarkingDecision Making | —Unverified | 0 |
| ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning | May 18, 2025 | Job Shop SchedulingScheduling | —Unverified | 0 |
| Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem | May 13, 2025 | Combinatorial OptimizationJob Shop Scheduling | —Unverified | 0 |
| Unraveling the Rainbow: can value-based methods schedule? | May 6, 2025 | Atari GamesCombinatorial Optimization | CodeCode Available | 0 |
