Past BSc, MComp, and MSc Dissertation Students

Reinforcement Learning on Ludo

Reinforcement Learning in the Board Game Pandemic

PPDT: Learning Input-Dependent Prompts To Improve Few-Shot Policy Generalisation

Evaluation of Reinforcement Learning Algorithms for Job Scheduling in Dynamic Environments

Role Specialisation in Heterogeneous Agents Using Reinforcement Learning

Do reinforcement learning agents really learn?

Training a Competitive Racing Driver with Difficulty Adjustment using Deep Reinforcement Learning

Getting Prepared: Finding Subgoals by using the Graphical Structure of Environments to Maximise Empowerment

Learning Skills from Time-Based Representations: A Comparison between Graph Laplacian Representations and Successor Representations in Environments with Directed Graphs

An Analytical Attempt of Reinforcement Learning Techniques in the Game 2048

Developing Dynamic and Hybrid Personalized Recommendation Systems Using Deep Reinforcement Learning

Reducing Energy Consumption of an Embedded Forecasting System by Using Reinforcement Learning

Towards AGI, Preference Modelling and Alignment in LLMs: A Survey

Use of Reinforcement Learning in Assembly Line Design

Extending Generative Experience Replay in Online Reinforcement Learning

Using Proximal Policy Optimization with Adversarial Motion Priors to Aid Rehabilitation

Unveiling the Impact: Exploring Key Parameters of Domain Randomization for Reinforcement Learning Agents

In-Depth Analysis of FeUdal Networks

The Generalisability of Cooperative Multi-Agent Reinforcement Learning Algorithms in a Mixed Setting

Towards Better Multi-Agent Hierarchical Reinforcement Learning: A Comparative Study on 'Overcooked!'