Drl based selfdrivingcarcontrol

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Reinforcement Learning

Minimal and Clean Reinforcement Learning Examples

Learningx

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Roboleague

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Watermark Remover

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Learning To Communicate Pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Pytorch Drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Machine Learning Uiuc

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Deep Rl Trading

playing idealized trading games with deep reinforcement learning

Applied Reinforcement Learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Gam

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Deep rl trader

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

Deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

Trixi

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Pytorch A2c Ppo Acktr Gail

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

Chanlun

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Tensorflow2 Deep Reinforcement Learning

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

Papers

Summaries of machine learning papers

Deep Reinforcement Learning Gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Atari Model Zoo

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Drl4recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Reinforcementlearning.jl

A reinforcement learning package for Julia

Awesome Deep Rl

A curated list of awesome Deep Reinforcement Learning resources.

Naf Tensorflow

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Hands On Intelligent Agents With Openai Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Deep Reinforcement Learning For Dialogue Generation In Tensorflow

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

Pytorch sac

PyTorch implementation of Soft Actor-Critic (SAC)

Machine Learning Is All You Need

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Drl

Repository for codes of 'Deep Reinforcement Learning'

2048 Deep Reinforcement Learning

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Deep Reinforcement Learning Algorithms

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Accel Brain Code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Gym Carla

An OpenAI gym wrapper for CARLA simulator

Airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Spinning Up Basic

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Awesome Deep Neuroevolution

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Go Bot Drl

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

Minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Baby A3c

A high-performance Atari A3C agent in 180 lines of PyTorch

Scalphagozero

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Pcgrad

Code for "Gradient Surgery for Multi-Task Learning"

Deep Learning Papers Reading Roadmap

深度学习论文阅读路线图

D3rlpy

An offline deep reinforcement learning library

Finrl Library

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Machine Learning And Data Science

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Deep Qlearning Agent For Traffic Signal Control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Policy Gradient

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Adnet

Attention-guided CNN for image denoising(Neural Networks,2020)

Ml Agents

Unity Machine Learning Agents Toolkit

Keras Rl2

Reinforcement learning with tensorflow 2 keras

Deep Reinforcement Learning In Large Discrete Action Spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

A Deep Rl Approach For Sdn Routing Optimization

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Pytorch Trpo

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Rl Quadcopter

Teach a Quadcopter How to Fly!

Rl Medical

Deep Reinforcement Learning (DRL) agents applied to medical images

Advanced Deep Learning And Reinforcement Learning Deepmind

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Deep Rl Tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers