IEEE

Intervention Analysis for Predicting Stock Market using Deep Learning Algorithms and Time Series Analysis

Abstract: Stock market being intricate and volatile pose challenges for classical Time Series Analysis techniques in terms of generalization and computation on real-world data. In order to improve ...
IEEE

Few-Human-Interaction Reinforcement Learning for Autonomous Transbronchial Intervention

Abstract: The transbronchial interventional surgery presents challenges with winding and convoluted pathways, prone to compression and friction. Current autonomous planning struggles to reach deeper ...
GitHub

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

This repository contains the official JAX implementation for the NeurIPS 2025 paper: A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning. Our work introduces a principle for ...
The Conversation

Distance learning changes lives, but comes with its own challenges

Ashley Gunter receives funding from, The Arts and Humanities Research Council UK, British Academy UK, National Research Foundation, Newton Fund UK. Across Africa, distance education has become one of ...