6337 Open source projects that are alternatives of or similar to Deep Reinforcement Learning For Automated Stock Trading Ensemble Strategy Icaif 2020

Repo for the Deep Reinforcement Learning Nanodegree program

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lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Live Trading. Please star.

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.

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强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

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

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

🔥🌟《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!

Modularized Implementation of Deep RL Algorithms in PyTorch

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Python library for Reinforcement Learning.

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

☔ Deep RL agents with PyTorch☔

Learning Continuous Control in Deep Reinforcement Learning

No description or website provided.

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Cloud-native Financial Reinforcement Learning

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

Pytorch Implementation of RL algorithms

Deep Reinforcement Learning for Robotic Grasping from Octrees

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

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Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Deep Developmental Reinforcement Learning

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

Deep Reinforcement Learning Algorithms Implementation in PyTorch

juliareinforcementlearning.org/

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

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Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Autonomous Drifting using Reinforcement Learning

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

DrQ: Data regularized Q

A pytorch tutorial for DRL(Deep Reinforcement Learning)