Official PyTorch implementation of "Learning Entropy Production via Neural Networks" (PRL 2020).

Extended neep model from Learning entropy production via neural networks (https://arxiv.org/abs/2003.04166)

Pear 🍐 is extension for music player

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

A Collection of Variational Autoencoders (VAE) in PyTorch.

This is a repo implementing the Unsupervised Real-Time Control through Variational Empowerment paper by Karl, et Al.

Implementation of Deep Variational Bayes Filter

Kalman Variational Auto-Encoder

Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"

Code for ITENE: Intrinsic Transfer Entropy Neural Estimator (arXiv version: https://arxiv.org/abs/1912.07277)

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PyTorch implementation of Advantage Actor-Critic (A2C)

Deep Q Learning via Pytorch

pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0

DQN implemented in keras with Dueling Network and Prioritized Experience Replay

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Normalizing flows in PyTorch. Current intended use is education not production.

PyTorch implementation of bayesian neural network [torchbnn]

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

A library of probabilistic model based RL algorithms in pytorch

Repository for the paper "Planning to Explore via Self-Supervised World Models"

This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

" Weight Uncertainty in Neural Networks"

Transporter implementation in PyTorch