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Fork from other discussion:
**Component level specification**
> We could achieve the same pattern with ProxImaL. In ideal world that would be like:
> 1. Describe the Problem [ProxImaL]
> 2. Co…
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Currently, the step size `gamma` parameter can only decrease, eg at
https://github.com/JuliaFirstOrder/ProximalAlgorithms.jl/blob/dc0342ca6fa3f6730168b3dcad9a1bd64187d875/src/algorithms/fast_forward_…
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Dear all,
While the book currently has a small section on Reinforcement Learning covering MDPs, value iteration, and the Q-Learning algorithm, the book still does not cover an important family of a…
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# Actor-Critic Algorithms #
- Author: Vijay R. Konda, John N. Tsitsiklis
- Origin: https://papers.nips.cc/paper/1786-actor-critic-algorithms.pdf
- Related:
- PyTorch4 tutorial of: actor critic…
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Hi,
Great work on this package. I’ve actually started building around it here https://github.com/jameschapman19/scikit-prox using your operators to solve regularised versions of some scikit-learn m…
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I managed to get most algorithms running on the Sparse regression example, but not the DRLS algorithm. I guess it should be applicable to sparse regression, but what needs to be done with:
drls = Pro…
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Check input fails when input does not have a `geometry` attribute, i.e. SIRF objects
https://github.com/TomographicImaging/CIL/blob/26f863aea98b339cc4f8f53f0d33f61a44742d5c/Wrappers/Python/cil/plug…
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I have a large-scale problem where I use the L1-regularized least square for compressed sensing by [ Stephen Boyd ](https://web.stanford.edu/~boyd/l1_ls/). However, the computation takes something lik…
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Hi all,
As in the title, is there a practical way to not use any penalty in the linear regression class ?
This is important because it is a common benchmark in regression algorithms.