We have 42 reinforcement learning PhD Projects, Programmes & Scholarships

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reinforcement learning PhD Projects, Programmes & Scholarships

We have 42 reinforcement learning PhD Projects, Programmes & Scholarships

(A*STAR Split-site) Generative Models for Deep Reinforcement Learning with applications to material discovery

The project investigates Generative Models, including Large Language Models (LLM) & diffusion models, and Deep Reinforcement Learning to support multi-modal, multi-task and multi-embodiment decision-making, and human-in-the-loop learning. Read more

Interpretable Reinforcement Learning [Self-Funded Students Only]

  Research Group: Visual Computing
Reinforcement learning (RL) enables agents to learn optimal policies by interacting with the environment. The agent collects experience from trial-and-error and optimises its action rules from the environment feedback. Read more

Distributed active reinforcement learning for multi-agent planning and control

With the rapid development of network-connected systems, coordination and cooperation among the subsystems/agents have become increasingly important and powerful in many control and robotics applications. Read more

Collaborative probabilistic machine learning

We develop probabilistic machine learning methods for helping other agents make better decisions, ultimately human agents in ongoing applications in science and engineering. Read more
Last chance to apply

SLAM for UAV navigation in GPS and vision denied environments using deep reinforcement learning.

The aim of this project is to develop an UAV system capable of providing real time navigation including 3D mapping reconstruction, path planning and obstacle avoidance in GPS and vision denied environments. Read more
Last chance to apply

Zero Trust Automation: Advancing Security with AI-based Intrusion Detection System

We are seeking an exceptional PhD candidate to join our cutting-edge research projects aimed at developing innovative solutions to enhance cyber security with deep learning-based continuous monitoring and response systems for real-time security incident detection and response in zero trust environments. Read more

A novel framework for engineering swarm agents and their controllers

Background. Swarm algorithms offer a number of promises in the form of multiple agents working together to achieve a task, robustness against disturbances and multiple sensing agents to digitise the environment to mention a few. Read more

Join Our Team and Shape the Future: Exciting PhD Projects in AI, Control Systems, Data science, and Robotics

Do you want to become a trained talent? Are you looking for an exciting opportunity to work on cutting-edge research projects? Join our team at Leeds Beckett University and be a part of our mission to advance data science, artificial intelligence and control system design. Read more

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