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pytorch-a2c

Simple change of a3c to a2c

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-a3c-1

Simple A3C implementation with pytorch + multiprocessing

pytorch-classification

Classification with PyTorch.

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

pytorch_helper_bot

[WIP] a high-level PyTorch helper package

pytorchtcn

A TCN Implementation in Pytorch

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

remokaggle

Quickly setup SSH connection to Kaggle Kernel for Deep Learning. In order to use that sexy Tesla P100 for free (and without many restriction of Jupyter Notebook) :P

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rlnotes

s2vg

The implementation of S2VG algorithm

sac

Implementation of Soft Actor Critic

sac-1

Pytorch implementation of Soft Actor-Critic

sac-pytorch

PyTorch implementation of Soft Actor-Critic

self-driving-car-in-video-games

A deep neural network that learns to drive in video games

simple-a2c

A simple A2C made from scratch in PyTorch. Accompanying comic at https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752

simupy

A framework for modeling and simulating dynamical systems

sota-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stochastic_value_gradient

Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]

tcan

A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".

tcn

Sequence modeling benchmarks and temporal convolutional networks

tcn-with-attention

Character based Temporal Convolutional Networks + Attention Layer

tcn_vibration

尝试采用TCN进行预测，随后进行控制，观测效果

test

test

tianshou

An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.

timeseries

TCN architecture for time series

torchbeast

A PyTorch Platform for Distributed RL