937 Open source projects that are alternatives of or similar to Noreward Rl

RAD: Reinforcement Learning with Augmented Data

Python library for Reinforcement Learning.

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

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

Deep Reinforcement Learning Algorithms Implementation in PyTorch

A collection of materials to help you learn about deep learning

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.

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

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)

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

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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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。

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

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Live Trading. Please star.

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

OpenAI's Gym written in pure Rust for blazingly fast performance

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

DrQ: Data regularized Q

Hierarchical Object Detection with Deep Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

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

Top 200 deep learning Github repositories sorted by the number of stars.

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

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

深度学习论文阅读路线图

Combining deep learning and reinforcement learning.

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Revisiting Rainbow

Cloud-native Financial Reinforcement Learning

Reinforcement Learning for Super Mario Bros using A3C on GPU

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

Deep Reinforcement Learning for Robotic Grasping from Octrees

Deep Developmental Reinforcement Learning

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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.

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

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

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Repo for the Deep Reinforcement Learning Nanodegree program

Autonomous Drifting using Reinforcement Learning

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

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Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Scalable, event-driven, deep-learning-friendly backtesting library

List of awesome resources for machine learning-based algorithmic trading

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. 🔥

The code for the SRDQN algorithm to train an agent for the beer game problem

A3C LSTM Atari with Pytorch plus A3G design

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning