PhD students:

Laknath Buddhika Semage:  Robust and Efficient Reinforcement Learning for Physics Tasks (Nov 2019-Jan 2023)

Manisha Senadeera*: Empathetic Reinforcement Learning (Oct 2020-)

Kishan Reddy Nagiredla*: Behaviour and Morphology Co-design of Reinforcement Learning Agents (Nov 2021-)

Maxence Hussonnois: Discovery and Learning of Diverse and Aligned Skills (Mar 2022-May 2026)

Ajsal Shereef*: Personalised Alignment of Reinforcement Learning Policies (Jun 2022-)

Omar Mohamed*: Steering Large Language Models for Better Generalisation (Sep 2023-)

David Azimi*: Sim-to-Real Transfer for Robotic Deep Reinforcement Learning (Jan 2025 -)

Emil Joshua Mittag*: Safer AI via agent recognition of out-of-distributions states in reinforcement learning (Jan 2026-)

Kartikey Mehar*: Advancing Spatiotemporal Precipitation Prediction and Monitoring using Multi-Satellite Data Integration with Deep Learning Approaches (Jul 2026-)


Bachelors Honors students:

Duc Minh La: Explainable reinforcement learning for real world robotics applications (Mar-Nov 2021)


Interns:

Samuel Alexander: Cartpole system design, Duckietown multirobot environments (Oct 2019 -Apr 2021)

Surya Palaniswamy: Turtlebot robots for indoor navigation (Feb-Jul 2020)