835 Open source projects that are alternatives of or similar to Pytorch A2c Ppo Acktr Gail

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A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

POMDPs in Python.

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This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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Gridworld environments for OpenAI gym.

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Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

ProMP: Proximal Meta-Policy Search

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Julia code for the book Reinforcement Learning An Introduction

SenseAct: A computational framework for developing real-world robot learning tasks

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

C51-DDQN in Keras

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Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

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ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

Artificial Intelligence Learning Notes.

Abstractions, algorithms, and utilities for reinforcement learning in Julia

AI斗地主

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

This is Andrew NG Coursera Handwritten Notes.

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

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Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

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

Seoul AI Gym is a toolkit for developing AI algorithms.

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

🔬 A curated list of awesome machine learning strategies & tools in financial market.

Trading environnement for RL agents, backtesting and training.

OpenAI Gym environments using DART

A deep reinforcement learning bot that plays tetris

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Tensorflow implementation of generative adversarial imitation learning

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

OpenAI's cartpole env solver.

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

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An internal improved version of Hessian powered by Ant Financial.

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

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。