350 Open source projects that are alternatives of or similar to Deep Reinforcement Learning In Large Discrete Action Spaces

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

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 with Deep Multi-Agent Reinforcement Learning in PyTorch

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

playing idealized trading games with deep reinforcement learning

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

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

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

Actor-critic with experience replay

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 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).

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。

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

Summaries of machine learning papers

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

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.

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

A reinforcement learning package for Julia

A curated list of awesome Deep Reinforcement Learning resources.

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

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

PyTorch implementation of Soft Actor-Critic (SAC)

Repository for codes of 'Deep Reinforcement Learning'

Noisy Networks for Exploration

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

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.

An OpenAI gym wrapper for CARLA simulator

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

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

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

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

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

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

Code for "Gradient Surgery for Multi-Task Learning"

深度学习论文阅读路线图

An offline deep reinforcement learning library

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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.

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.

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

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

Unity Machine Learning Agents Toolkit

Reinforcement learning with tensorflow 2 keras

Implementation of algorithms for continuous control (DDPG and NAF).

Build environment and train a robot arm from scratch (Reinforcement Learning)

An elegant PyTorch deep reinforcement learning library.

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.