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It would be nice to support the [Benchopt](https://github.com/benchopt/benchopt) problem suite, which is also available in Python:
- [ ] Ordinary Least Squares
- [ ] Non-Negative Least Squares
- …
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> The combination of Monte-Carlo tree search
(MCTS) with deep reinforcement learning has
led to significant advances in artificial intelligence. However, AlphaZero, the current stateof-the-art MCTS …
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### Method description
Constrained Generative Policy Optimization was introduced by Meta in a recent paper (https://arxiv.org/pdf/2409.20370). It seems to outperform PPO and DPO and is specifically…
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I saw this [post on reddit](https://www.reddit.com/r/MachineLearning/comments/hrzooh/r_montecarlo_tree_search_as_regularized_policy/) and thought this might be of interest here. [Paper](https://proce…
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Some improvements to comments, etc.
1. Explain why mjx data (comment about creating on GPU): https://github.com/talmolab/stac-mjx/blob/main/stac_mjx/controller.py#L201
2. Change _lb and _ub to _jo…
jf514 updated
2 months ago
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Based an #8514 a check words that are misspelling in `en-US` but are correct in `en-GB` (CGAL normally uses `en-US`)
# Recognized by my spelling checker and by google translate as misspelled
- an…
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https://chatgpt.com/share/6722826e-2730-800e-9be1-5c6b505e6fa3
Las tecnologias se agregan en el learn.json de cada proyecto
Revisa todo el syllabus y ve editando en github cada project y color lso…
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A priority for future development should be to make this package compatible with arbitrary derivative-free `Optim.jl` or `BlackBoxOptim.jl` optimization algorithms. These problems are formulated not a…
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## 論文タイトル（原文まま）
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level
## 一言でいうと
7Bの言語モデルをGPT-4レベルに向上させるための、反復長さ正則化直接選好最適化（iLR-DP…
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We need some central location for documenting features that are common to most models, and/or have a generic implementation.
### robust covariances
main candidate right now are robust covariances: Th…