Research Overview
The three current areas of research in CLAN Labs are:
Reinforcement Learning
The current themes are
- Multi-objective Concave Utility Reinforcement Learning
- Constrained Markov Decision Process
- Combinatorial Submodular Bandits
- Multi-Agent Reinforcement Learning
- Federated and Fog Learning
Applications of Machine Learning
The current themes are
- Network Resource Allocation, including Vehicular Networks
- Intelligent Transportation - Ride-Sharing Systems and Traffiic Signal Control
- Telerobotics
- Application of Machine Learning tools for healthcare
- Blockchain
Quantum Machine Learning
The current themes are:
- Quantum Reinforcement Learning
- Variational Quantum Circuits for Machine Learning
- Quantum Causal Inference
- Quantum Computing for Imaging Applications