GNN, Deep Learning, Reinforcement Learning Projects

Advanced Graph-Based Deep Learning for Predictive Analytics in Urban Bike-Sharing Systems

This study leverages advanced graph convolutional networks to accurately predict bike demand, incorporating complex spatial and temporal dynamics to enhance the efficiency and reliability of urban bike-sharing systems.

Enhancing Financial Trading Strategies through Deep Reinforcement Learning (DRL)

Developed a Deep Reinforcement Learning model for trading strategies using Python, TensorFlow, and Keras. Integrated action augmentation, custom Q-networks, and experience replay to optimize trading decisions and capture temporal dependencies.

Optimizing Network Routing with Deep Reinforcement Learning and Graph Neural Networks

In this project, I combined Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to solve routing optimization problems in Optical Transport Networks (OTN).

Srushti Manjunath

GNN, Deep Learning, Reinforcement Learning Projects

Advanced Graph-Based Deep Learning for Predictive Analytics in Urban Bike-Sharing Systems

Enhancing Financial Trading Strategies through Deep Reinforcement Learning (DRL)

Optimizing Network Routing with Deep Reinforcement Learning and Graph Neural Networks