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a2c-pytorch

A2C-pytorch

a3c

PyTorch implementation of "Asynchronous advantage actor-critic"

adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

awesome-deep-rl

For deep RL and the future of AI.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

awesome-rl

Reinforcement learning resources curated

backpack

BACKpropagation PACKage - A backpack for PyTorch that extends the backward pass of feedforward networks to compute quantities beyond the gradient

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

colab-ssh

SSH Connector to connect Google Colab VM instance with Labstack Tunnel

colaboratory

Colaboratory

deep-reinforcement-learning-with-pytorch

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

deeprl-continuous-control

Learning Continuous Control in Deep Reinforcement Learning

google-colab-localhost-portforward

This script allows you to easily forward a localhost post on google colab.

google-colab-reconnector

Reconnect to google colab automatically

google_colab

Colaboratory is a Google research project created to help disseminate machine ... Colab also supports connecting to a Jupyter runtime on your local machine.

hypertunnel

✨ Expose any local TCP/IP service on the internet.

ilqr-gym

Iterative LQR controller operating in OpenAI Gym environment.

impala

An PyTorch implementation of "Importance Weighted Actor-Learner Architectures" https://arxiv.org/abs/1802.01561

keras-tcn

Keras Temporal Convolutional Network.

kerl

KERL: reinforcement learning algorithms and tools implemented using Keras

mbbl

ms-tcn

paper_checking_system

基于C#和C++开发的文本查重/论文查重系统，一亿字次级论文库秒级查重。关联：查重算法

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

pidoptimizer

Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.

pop-art-translation

Translation and understanding for the Pop-art paper.

populationbasedtraining

A simple PyTorch implementation of Population Based Training of Neural Networks.

ppo-pytorch

ppo-pytorch

prob_mbrl

A library of probabilistic model based RL algorithms in pytorch