janesbuaa Goto Github PK

a3c-crypto-trader

Deep Reinforcement Learning A3C Crypto Trading Bot

a3c_tf2

a3c_trading

Trading with recurrent actor-critic reinforcement learning

ape-x-dqn

PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner

ardupilot

ArduPlane, ArduCopter, ArduRover source

backtrader-binance-bot-1

:money_with_wings: A example of bot using Backtrader to trade Bitcoins in Binance Exchange.

binance_historical_kline

Get Binance historical Kline

deep-q-learning-paper-to-code

deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

deep_rl_trader

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

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

gym-cryptotrading

OpenAI Gym Environment API based Bitcoin trading environment

keras-rl

Deep Reinforcement Learning for Keras.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

muzero

An Implementation of MuZero in PyTorch and Ray for reversi

pid-control-system-based-on-optimized-back-propagation-neural-network

基于改进型BP神经网络的PID控制系统

pixhawk-standards

Pixhawk Standards

propellerdesign

code used to analyze and design propeller

real-time-stock-market-prediction-using-ensemble-dl-and-rainbow-dqn

reinforcement-learning-stock-trader

Using a modified version of Werner Duvaud's MuZero implementation (https://github.com/werner-duvaud/muzero-general) this reinforcement agent learns to trade stocks based on Yahoo Finance data.

reinforcement_learning

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

spidnn_test

关于神经元网络PID算法(SPIDNN)的初步尝试(2018-4-16)

tf_deep_rl_trader

Trading Environment(OpenAI Gym) + PPO(TensorForce)

tradinggym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

waypoint

无人机的航点规划

youtube-code-repository

Repository for most of the code from my YouTube channel