Amortized-SVGD-GAN VS Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Compare Amortized-SVGD-GAN vs Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control and see what are their differences.

Amortized-SVGD-GAN

Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning (by mokeddembillel)
draw-samples continuous-probability-distibution Gan svgd stein-variational-gradient-decent amortized amortized-svgd Pytorch pytorch-implementation reinforcement-learning soft-q-learning SQL
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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
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Amortized-SVGD-GAN Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
1 2
9 116
- -
0.0 4.5
over 2 years ago about 1 year ago
Python Python
- MIT License
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Amortized-SVGD-GAN

Posts with mentions or reviews of Amortized-SVGD-GAN. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

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

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

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

ProSelfLC-AT - noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

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

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.

Amortized-SVGD-GAN vs pytorch-learn-reinforcement-learning Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs stable-baselines3 Amortized-SVGD-GAN vs PyTorch-VAE Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs Machine-Learning-Collection Amortized-SVGD-GAN vs Machine-Learning-Collection Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs ProSelfLC-AT Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs Robo-Semantic-Segmentation Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs ALAE Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control vs d2l-en