filangelos / Qtrader
Licence: apache-2.0
Reinforcement Learning for Portfolio Management
Stars: ✭ 363
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Qtrader
Ctc Executioner
Master Thesis: Limit order placement with Reinforcement Learning
Stars: ✭ 112 (-69.15%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
Dinoruntutorial
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Stars: ✭ 285 (-21.49%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
Trading Bot
Stock Trading Bot using Deep Q-Learning
Stars: ✭ 273 (-24.79%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
Hands On Reinforcement Learning With Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Stars: ✭ 640 (+76.31%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
Udacity Deep Learning Nanodegree
This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY
Stars: ✭ 15 (-95.87%)
Mutual labels: jupyter-notebook, reinforcement-learning, recurrent-neural-networks
Basic reinforcement learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+127.55%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
Reinforcement learning tutorial with demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (+21.76%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
Notebooks
Some notebooks
Stars: ✭ 53 (-85.4%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
2048 Deep Reinforcement Learning
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
Stars: ✭ 169 (-53.44%)
Mutual labels: jupyter-notebook, reinforcement-learning, q-learning
Easy Tensorflow
Simple and comprehensive tutorials in TensorFlow
Stars: ✭ 2,871 (+690.91%)
Mutual labels: reinforcement-learning, recurrent-neural-networks
Rlquant
Applying Reinforcement Learning in Quantitative Trading
Stars: ✭ 271 (-25.34%)
Mutual labels: jupyter-notebook, reinforcement-learning
Text summurization abstractive methods
Multiple implementations for abstractive text summurization , using google colab
Stars: ✭ 359 (-1.1%)
Mutual labels: jupyter-notebook, reinforcement-learning
Drq
DrQ: Data regularized Q
Stars: ✭ 268 (-26.17%)
Mutual labels: jupyter-notebook, reinforcement-learning
Popular Rl Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Stars: ✭ 266 (-26.72%)
Mutual labels: jupyter-notebook, reinforcement-learning
Rad
RAD: Reinforcement Learning with Augmented Data
Stars: ✭ 268 (-26.17%)
Mutual labels: jupyter-notebook, reinforcement-learning
Lstm Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Stars: ✭ 2,943 (+710.74%)
Mutual labels: jupyter-notebook, recurrent-neural-networks
Tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Stars: ✭ 3,191 (+779.06%)
Mutual labels: jupyter-notebook, reinforcement-learning
Baby Steps Of Rl Ja
Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード
Stars: ✭ 302 (-16.8%)
Mutual labels: jupyter-notebook, reinforcement-learning
Gdrl
Grokking Deep Reinforcement Learning
Stars: ✭ 304 (-16.25%)
Mutual labels: jupyter-notebook, reinforcement-learning
Reinforcement Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+817.08%)
Mutual labels: jupyter-notebook, reinforcement-learning
qtrader
Reinforcement Learning for Portfolio Management
Why Reinforcement Learning?
- Learns the optimal action, rather than models the market.
- Adaptive to temporary changes of the market, due to its online training.
- Optimizes the long-term (cumulative) reward, rather than the instantaneous benefit.
Setup
Exclusively
Python 3compatible, because oftypings
macOS
source scripts/setup.sh
Documentation
-
Interim Report: Introduction to
qtrader - Papers Review: Motivation, pros & cons of existing methods
- Resources: List of relevant resources
- Final Report: Master's Thesis
- Presentation: 15 minutes project presentation
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].