Deep Reinforcement Learning on Item-Compatibility Graphs for One-Dimensional Bin Packing

arXiv:2609.25397 · cs.LG, cs.AI, math.OC · Submitted 2026-09-21 · Read on arXiv

cs.LG, cs.AI, math.OC

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: 29 pages,3 figures, 8 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 26× in this paper · explained in 4 episodes
• Benchmark — 19× in this paper · explained in 2 episodes
• Actor — 15× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 12× in this paper · explained in 2 episodes
• Combinatorial Optimization — 11× in this paper · explained in 2 episodes
• Grouping Genetic Algorithm — 11× in this paper
• Aggregation — 4× in this paper · explained in 1 episode
• Embeddings — 4× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Deep Reinforcement Learning (DRL) — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Reward Function — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• GNNs — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Actor-Critic Architecture — 1× in this paper · explained in 1 episode
• Best-Fit Decreasing — 1× in this paper
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• First-Fit Decreasing — 1× in this paper
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• International Conference on Machine Learning — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Proximal Policy Optimization — 1× in this paper
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Q-learning — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• Neural Combinatorial Optimization with Reinforcement Learning
• Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation
• Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method
• Proximal Policy Optimization Algorithms

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