ProSelfLC-AT
Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
| ProSelfLC-AT | Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | |
|---|---|---|
| 4 | 2 | |
| 58 | 116 | |
| - | - | |
| 1.8 | 4.5 | |
| almost 2 years ago | 12 months ago | |
| HTML | Python | |
| GNU General Public License v3.0 or later | MIT License |
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ProSelfLC-AT
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[R] Robust Learning: the past and present. The DNN has strong fitting capability, but we find ...
Found relevant code at https://github.com/XinshaoAmosWang/ProSelfLC-AT + all code implementations here
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[R] ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State
Code for https://arxiv.org/abs/2207.00118 found: https://github.com/XinshaoAmosWang/ProSelfLC-AT
- [P] Easy to install, use, extend, run experiments and sink results: PyTorch Implementation for ProSelfLC-CVPR 2021
- [R] CVPR 2021-Progressive Self Label Correction (ProSelfLC) for Training Robust Deep Neural Networks
Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
- MPC with Gaussian processes for data-efficient reinforcement learning
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[OC] Visualizations of the learning of probabilistic model predictive control for reinforcement learning
Link to repositery: https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
What are some alternatives?
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Improving-Mean-Absolute-Error-against-CCE - Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
romodel - Modeling robust optimization problems in Pyomo
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
ProSelfLC - noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation. [Moved to: https://github.com/XinshaoAmosWang/ProSelfLC-AT]
ALAE - [CVPR2020] Adversarial Latent Autoencoders
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.