111 to 120 of 2,999 Results
Oct 16, 2026 -
Software and Scripts for: APTree, Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction
Compressed Archive - 272.5 KB -
MD5: 52ccea3632338c50f38dd7cfec4ded47
Source code of APTree version 2.0 (with replanning): DSL, execution engine, planning service, editor, analysis scripts, Lean proofs, Docker setup. Licensed under MIT. Extract next to the v2.0 data archive and see code/README.md. |
Oct 16, 2026 -
Software and Scripts for: APTree, Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction
Compressed Archive - 182.8 KB -
MD5: bd923c399ff0ee57b6ac623f734c8fcb
Data of APTree version 2.0 (with replanning): DSL models, runtime models, PDDL planner inputs, execution logs of the reported run. Licensed under CC BY 4.0. See data/README.md. |
Oct 15, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Shakurianova, Alfiia; Skoury, Lior; Zorn, Max Benjamin; Wortmann, Thomas, 2026, "Hyperparameter Optimization: a Large-scale Benchmark Using Random Search, Sensitivity Analysis, and Surrogate Multi-objective Optimization on Black-box Problems", https://doi.org/10.18419/DARUS-6406, DaRUS, V1
Overview This project benchmarks ten multi-objective optimization algorithms, including NSGA-II, NSGA-III, SPEA2, MOEA/D, HYPE, NSPSO, MACO, RBFMOpt, TPE, and NOMAD, across a large and diverse set of black-box (bbcom) problems. The study evaluates algorithm performance, robustness, convergence, and sensitivity to hyperparameters. Hyperparameter Tun... |
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MD5: 5907f9c552363870503b588201fe74fa
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MD5: 5bd840a8124b372f35056e4803900859
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ZIP Archive - 50.2 MB -
MD5: 6b71d3911b73362fd42bb3af9f4e6326
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MD5: f64c7b750bd1625a01a381568ebc41ff
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MD5: e98edfd2be6e6c19d633a0414dcb4a89
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MD5: 8e14de8520316575f093a17b953d9645
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