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Develop a hybrid attack decision-making system for agents that combines a Q-learning neural network (QNN) and rule-based constraints. This system will allow agents to dynamically decide between aggres…
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Currently to restrict which modes of a boundary are in the optimization space, we have to do this slightly clunky procedure of defining the modes externally then passing them into the constraint.
`…
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**Problem Description:**
On 27 Aug 24, a particular search led to a v8 engine crash. This incident is being tracked by MarkLogic Support ticket no. 37229 and https://git.yale.edu/lux-its/ml-cluster-…
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Creating example code and Jupyter Notebooks for working with objectives and constraints.
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Of the currently implemented copulas only elliptical copulas allow for negative correlation. Most copulas require positive or non-nrgative correlation.
If cop_args are set in `__init__` then we can…
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Currently we have `Symbol.__repr__()` implemented
```python
In [1]: from dwave.optimization import Model
In [2]: model = Model()
In [3]: i = model.integer()
In [5]: repr(i)
Out[5]: ''
```
However,…
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**Use case**
If we have 2 timestamps, and we do partitioning by one of them and we have constraint on them, ClickHouse will be able to optimize it.
**Describe the solution you'd like**
```
C…
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We have been iteratively coming back to discussion that Stochastic Programming (SP) is one of the most wished features.
There is an [example notebook](https://discord.com/channels/911692131440148490…
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**Describe the bug**
When parsing optimal control problems (OCP) with quadratic objectives, CVXPY nearly doubles the number of optimization variables in the problem.
**To Reproduce**
In the code…
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Hello. I am wondering if there is any workarounds in the library to support box constraints during the Levenberg Marquardt optimization. Any guidance would help tremendously. Thanks in advance!