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Weigh out the pro's and cons among different optimization techniques based on the expected scale of the integration scenarios that will be solved. Potential candidates are NLP( Nonlinear Programming) …
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[1, Section IV.B]
# Refs
[1] T. Bian and Z.-P. Jiang, “Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach,” IEEE Trans. Neural Ne…
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Tao Bian 의 value iteration (VI) 기반 CT ADP 를 리뷰한다 [1, 2].
#10 은 해당 논문의 구현을 다룸.
# Refs
[1] T. Bian and Z.-P. Jiang, “Value Iteration, Adaptive Dynamic Programming, and Optimal Control of Nonl…
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**Feature description.**
In cases where the optimization is convex, use a convex programming interface such as CVXPy or GPKit instead of the current scipy.optimize.minimize SLSQP solver. This can spe…
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## Description of the issue
As described in https://github.com/OpenEnergyPlatform/ontology/issues/859 most of the individuals in the OEO are lacking a definition.
In addition the upper classes are…
Ludee updated
1 month ago
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This is more of a feature request.
We have a license (and Fortran source) for SNOPT. SNOPT would be a good option to have, because it is a sequential quadratic programming method (IPOPT is interio…
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Are there plan to support general nonlinear constraints (in the future)?
Coming from constraint programming systems such as MiniZinc, Picat, Gecode, OR-tools, etc, I'm quite used to - and spoiled w…
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https://darkpgmr.tistory.com/149
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https://blog.oliverxu.cn/2020/08/27/%E4%BD%BF%E7%94%A8PPO%E8%AE%BE%E8%AE%A1%E7%BA%BF%E6%80%A7%E7%B3%BB%E7%BB%9F%E6%8E%A7%E5%88%B6%E5%99%A8/
论文《Policy Iteration Adaptive Dynamic Programming Algorith…
olixu updated
2 years ago
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Schittkowski test set revisited
More Test Examples for Nonlinear Programming Codes (1987)
K. Schittkowski
https://link.springer.com/book/10.1007/978-3-642-61582-5
This collection of 188 nonlin…