davidpazn Goto Github PK

adversarial-pg

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.

austrailanweather

Second Assignment: Computational Learning

cvar-distrl

Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

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

djia-direction-prediction

DJIA direction prediction based on news and time series

finrl

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

finrl-meta

FinRL­-Meta: A Universe for Data­-Driven Financial Reinforcement Learning. 🔥

finrl_podracer

FinRL-Podracer is a cloud solution.

fqf-iqn-qrdqn.pytorch

PyTorch implementation of FQF, IQN and QR-DQN.

gamma-vega-rl-hedging

housingprediction-statistics

Predict London's real estate prices based on classic statistical methods using R software.

iqn-and-extensions

PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

ml_finance_codes

Machine Learning in Finance: From Theory to Practice Book. Dixon, Halperin and Bilokon

portfolio-optimization

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

rl-book