uotter Goto Github PK

ant_test

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

c-rnn-gan

Implementation of C-RNN-GAN.

cashbus

d3rlpy

An offline deep reinforcement learning library

dqfd

An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

finrl

FinRL: Financial Reinforcement Learning. 🔥

fx_alert

gail-tf

Tensorflow implementation of generative adversarial imitation learning

gail_ppo_tf

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

generalized_dt

"Generalized Decision Transformer for Offline Hindsight Information Matching" (https://arxiv.org/abs/2111.10364)

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

graph2vec_tf

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

gym-gridworld

Simple grid-world environment compatible with OpenAI-gym

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

infogail

Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

irl-imitation

Implementation of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

majhong

models

Models and examples built with TensorFlow

my-offlinerl

neural-mmo

Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

nmsext

node2vec

ocr-pwa

A simple PWA for OCR, based on Tesseract.

pbc

pickbeans

rl for game pickbeans

python-gsmmodem

Maintained fork of a Python module to control GSM modems attached to the system: send/receive SMS messages in your scripts, handle calls, and more.

pytorch-tutorial

Build your neural network easy and fast