drl.pth

Implementation of Policy Gradient algorithms in PyTorch. (Sequential, Distributed sync + async)

APACHE-2.0 License

Stars

View Code on GitHub View on X

Ecosystems: Python

Statistics for this project are still being loaded, please check back later.

Related Projects

deep_rl

Single-file truly minimal implementation of state-of-the-art reinforcement learning algorithms.

11 May 2021 18

PyTorch-ML

Implement DNN or ML models and advanced policies with PyTorch.(Include experiment)

27 Mar 2018 11

optim-rl

Easy, flexible, and modular RL components

28 Feb 2022 1

rl-examples

Examples of published reinforcement learning algorithms in recent literature implemented in Tenso...

14 Nov 2017 97

ogd

FTRL proximal algorithm according to McMahan et al. 2013

02 Nov 2014 24

robustRL

Robust policy search algorithms which train on model ensembles

04 Aug 2016 28

Deep-RL-TORCS

Autonomous Navigation using Deep Reinforcement Learning

22 May 2017 21

PPO-Pytorch

Pytorch Implementation of Proximal Policy Optimization Algorithm

02 Mar 2018 22

rlpyt

Reinforcement Learning in PyTorch

28 Apr 2019 2,221

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

18 Sep 2016 2,087

genrl

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...

26 Mar 2020 403

pytorch_misc

Code snippets created for the PyTorch discussion board

15 Nov 2018 540

Distributed-Algorithms

Abstractions of components of a distributed system to simulate implementations of distributed alg...

09 Jul 2017 4

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods f...

14 Apr 2016 1,012

igt.pth

Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19

21 Jul 2018 19