Concurrent Planning and Execution Using Dispatch-Dependent Values
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 8483-8490.
https://doi.org/10.24963/ijcai.2025/943
Keywords
- Planning and Scheduling: PS: Search in planning and scheduling
- Planning and Scheduling: PS: Real-time planning
Abstract
Agents operating in the real world must cope with the fact that time passes while they plan.
In some cases, such as under tight deadlines, the only way for such an agent to achieve its goal is to execute an action before a complete plan has been found. This problem is called Concurrent Planning and Execution (CoPE). Previous work on CoPE relied on a value function that assumes search will finish before actions are executed, causing the agent to be overly pessimistic in many situations.
In this paper, we define a new value function that takes into account the agent's ability to dispatch actions incrementally. This allows us to devise a much simpler algorithm for concurrent planning and execution. An experimental evaluation on problems with time pressure shows that the new method significantly outperforms the previous state-of-the-art.
@inproceedings{ijcai2025p943,
title = {Concurrent Planning and Execution Using Dispatch-Dependent Values},
author = {Coles, Andrew and Karpas, Erez and Shimony, Eyal and Shperberg, Shahaf and Ruml, Wheeler},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {8483--8490},
year = {2025},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2025/943},
url = {https://doi.org/10.24963/ijcai.2025/943},
}
TY - CPAPER TI - Concurrent Planning and Execution Using Dispatch-Dependent Values AU - Coles, Andrew AU - Karpas, Erez AU - Shimony, Eyal AU - Shperberg, Shahaf AU - Ruml, Wheeler T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 8483 EP - 8490 DO - 10.24963/ijcai.2025/943 UR - https://doi.org/10.24963/ijcai.2025/943 ER -Copied
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