Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control VS ProSelfLC-AT

Compare Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs ProSelfLC-AT and see what are their differences.

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments (by SimonRennotte)
reinforcement-learning Pytorch pytorch-implementation gpytorch gaussian-processes model-predictive-control model-based-reinforcement-learning Paper control-animation uncertainty
Source Code
Suggest alternative
Edit details

ProSelfLC-AT

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation. (by XinshaoAmosWang)
knowledge-distillation uncertainty Entropy missing-labels noisy-labels semi-supervised-learning robust-optimization
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control ProSelfLC-AT
2 4
114 58
- -
4.5 1.8
12 months ago over 1 year ago
Python HTML
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Posts with mentions or reviews of Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control. We have used some of these posts to build our list of alternatives and similar projects.

ProSelfLC-AT

Posts with mentions or reviews of ProSelfLC-AT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-25.

What are some alternatives?

When comparing Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control and ProSelfLC-AT you can also consider the following projects:

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning

Improving-Mean-Absolute-Error-against-CCE - Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

romodel - Modeling robust optimization problems in Pyomo

ALAE - [CVPR2020] Adversarial Latent Autoencoders

ProSelfLC - noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation. [Moved to: https://github.com/XinshaoAmosWang/ProSelfLC-AT]

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.

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs stable-baselines3 ProSelfLC-AT vs imodels Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs Machine-Learning-Collection ProSelfLC-AT vs Improving-Mean-Absolute-Error-against-CCE Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs Robo-Semantic-Segmentation ProSelfLC-AT vs romodel Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs ALAE ProSelfLC-AT vs ProSelfLC Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs d2l-en