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Hello,
i have been lately running the docu for parameter optimization of ODEs
https://sensitivity.sciml.ai/dev/ode_fitting/optimization_ode/
However, i tried to decrease the maxiters to 5 for m…
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There are probably optimizations to be made, both in terms of micro-optimization, and in terms of the algorithms used.
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# Reading past an array bounds is unsound
While you are correct that at the machine code level, one can read past an array bounds without invoking UB -- because at the machine code level, there is …
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Convert_3DGS_to_Mesh_with_NeRF_and_Marching_Cubes has built-in training parameter
nerf node, the higher the number of training steps, the better the effect, because you have built-in training step…
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The fitness routine has to be rewritten for the Genetic algorithms
![latex_1d54fbc2610f7ea81bab9265f228f962](https://cloud.githubusercontent.com/assets/8535734/9337129/b97d152c-45dd-11e5-92f5-c439a8c…
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This issue is opened to document architectural changes that require changes to the scanhash
function of each algo. These changes may not have been propagated to all algl algos for various
reasons.
…
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Here are ten unsolved problems in algorithmic trading framed within a pure mathematics context:
1. **Optimal Execution Problem**: Finding a universally optimal strategy for executing large orders t…
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Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into more …
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# some codes can be optimization!
https://github.com/loiane/javascript-datastructures-algorithms/issues/29
https://github.com/gildata/RAIO/issues/167#issuecomment-330818729
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# Reference
- 07/2017 [Proximal policy optimization algorithms](https://arxiv.org/abs/1707.06347)
# Brief
- 基于策略梯度(PG,Policy Gradient)