2 citations · 4 across the 4 of their papers we have counts for
4 papers
Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback
Harry Emerson, Sam Gordon James, Matthew Guy +1
Reinforcement learning (RL) has demonstrated success in automating insulin dosing in simulated type 1 diabetes (T1D) patients but is currently unable to incorporate patient experti…
CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents
Harry Emerson, Liz Bates, Chris Hicks +1
CybORG++ is an advanced toolkit for reinforcement learning research focused on network defence. Building on the CAGE 2 CybORG environment, it introduces key improvements, including…
The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management
Harry Emerson, Ryan McConville, Matthew Guy
Blood glucose simulation allows the effectiveness of type 1 diabetes (T1D) management strategies to be evaluated without patient harm. Deep learning algorithms provide a promising…
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes
Harry Emerson, Matthew Guy, Ryan McConville
The widespread adoption of effective hybrid closed loop systems would represent an important milestone of care for people living with type 1 diabetes (T1D). These devices typically…