An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement
On the map: Deep reinforcement learning methods → RL for robot navigation and UAV control
Abstract (arXiv)
This paper presents an efficient deep reinforcement learning (DRL) framework for online 3D bin packing (3D-BPP). The 3D-BPP is an NP-hard problem significant in logistics, warehousing, and transportation, involving the optimal arrangement of objects inside a bin. Traditional heuristic algorithms often fail to address dynamic and physical constraints in real-time scenarios. We introduce a novel DRL framework that integrates a reliable physics heuristic algorithm and object rearrangement and stable placement. Our experiment show that the proposed framework achieves higher space utilization rates effectively minimizing the amount of wasted space with fewer training epochs.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in RL for robot navigation and UAV control, one of 15 directions in Deep reinforcement learning methods. Builds on 3 of its 9 references that are in the map. First posted on arXiv 19 Aug 2024.
Builds on
3 of 9 references.
References · 3
- 2017Proximal Policy Optimization Algorithmscited by 15,215
- 2021Demonstration-Guided Reinforcement Learning with Learned Skillscited by 76
- 2020Online 3D Bin Packing with Constrained Deep Reinforcement Learningcited by 41
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Citing papers per year: 2025: 2.
2 papers.
Similar, not cited
Close in wording, no citation either way
- 2024Bin Packing Optimization via Deep Reinforcement Learning
- 2024GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
- 2026Diffusion Reinforcement Learning Based Online 3D Bin Packing Spatial Strategy Optimization
- 2026Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search
- 2025Deliberate Planning of 3D Bin Packing on Packing Configuration Trees
- 2026Preference-Conditioned Reinforcement Learning for Space-Time Efficient Online 3D Bin Packing
- 2026Deep Reinforcement Learning on Item-Compatibility Graphs for One-Dimensional Bin Packing
- 2026Operationally Guided Placement-Aware Learning for Industrial Online 3D Bin Packing