q-learning-trader Goto Github PK

academy

Ray tutorials from Anyscale

alphatrader

An implementation of a stock market trading bot, which uses Deep Q Learning

awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

cherry

PyTorch Reinforcement Learning Library for Researchers

deep-hedging

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

deep-trading-agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

deep_rl_trader

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

dqn-forex

Reinforcement learning project that uses DQN to trade the forex market

drl-agents

research and implementations of Deep RL agents and their applications

elegantrl

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

fingym

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥

fire

FInancial REinforcement learning

freqtrade-gym

A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

gym-continuousdoubleauction

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.

half_tael_dqn

A foreign exchange trading bot with quite some personalities, utilizing CNN + DQN with persona-driven adjustments.

kd_lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

mtgode

[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

mujoco-pytorch

PPO implementation on mujoco environment

pairstrade-fyp-2019

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

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-cpp-rl

PyTorch C++ Reinforcement Learning

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

q-trader

Deep Q-learning driven stock trader bot

q-trading-pytorch

DQN stock trading pytorch implementation

qtrader

Reinforcement Learning for Portfolio Management

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.