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We have 73 reinforcement PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
reinforcement PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 73 reinforcement PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Reinforcement learning with application in optimal dividend problems with Parisian implementation delay
The success of the classical stochastic control theory in solving various optimal dividend problems heavily relies on the (theoretical) model assumptions which have brought significant restrictions to the application of the results to the industry practice. Read more
How striatal neurons learn reinforcement learning
Department of Clinical and Biomedical Sciences, RILD Building, RD&E Hospital Wonford, Exeter. Read more
EPSRC/BAE Systems INDUSTRIAL CASE PhD Studentship: Mitigation of Reinforcement Learning Algorithms in Changing Environments
The University of Manchester
Faculty of Humanities Doctoral Academy, Alliance Manchester Business School
The development of (deep) Reinforcement Learning (RL) algorithms to train agents within game environments is well known. Agent training is typically conducted against a known, simplified, or constrained environment. Read more
Reinforcement-based Security Solution in Software-defined Intrusion Detection System
Applications are invited for a self-funded, 3-year full-time or 6-year part time PhD project. The PhD will be based in the School of Computing and will be supervised by . Read more
Thin overlays to replace the need for conventional reinforcement in 3D-printed concrete structures
Three-dimensional concrete printing (3DCP) is one of the digital construction technologies, which eliminates the use of expensive formwork for building concrete structures with complex geometries via an additive manufacturing process. Read more
Safe Reinforcement Learning from Human Feedback
This project is part of a unique cohort based 4-year fully-funded PhD programme at the. UKRI Centre for Doctoral Training in Safe and Trusted AI. 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
Reinforcement learning based discovery of numerical algorithms
Deep neural networks have recently emerged as promising contenders for efficiently solving partial differential equations (PDEs) and ordinary differential equations (ODEs). Read more
Hierarchical reinforcement learning
One of the most fundamental problems in artificial intelligence (AI) is how to enable autonomous development of action hierarchies, in other words, how to endow artificial agents with the ability to autonomously form useful high-level behaviours (for example, grasping) from existing behavioural units (for example, primitive sensory and motor actions available to a robot). Read more
PhD Studentship: Algorithmic Fairness (Reinforcement Learning)
Project. BayesianGDPR ("Bayesian Models and Algorithms for Fairness and Transparency"), European Research Council ERC Starting Grant . Read more
Deep learning of deformable object manipulation on manufacturing robots
Background. Current robots in manufacturing settings are not able to adapt to variations introduced by collaborating humans or other factors in the environment. Read more
Enhancing Social Interactions via Physiologically-Informed AI
Over the past few years major developments in machine learning (ML) have enabled important advancements in artificial intelligence (AI). Read more
Optimal Design of Fibre Reinforced Composite Pipes and Umbilicals
Currently, the application of composite materials in oil and gas industry lacks proven test methodologies and understanding of technical and fundamental issues relevant specifically to composite materials and structures. Read more
Machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems PhD or MSc by Research
We are looking for a motivated candidate to pursue PhD / MSc by Research based on a project entitled 'Machine learning based approach for numerical analysis of nonlinear dynamics of unmanned systems'. . 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