Edward James Young

According to our database, Edward James Young authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Understanding Goal Generalisation in Sequential Reinforcement Learning.

Jason Ross Brown, Edward James Young

CoRR, May, 2026

A transformer architecture alteration to incentivise externalised reasoning.

Elizabeth Pavlova, Mariia Koroliuk, Karthik Viswanathan, Cameron Tice, Edward James Young, Puria Radmard

CoRR, March, 2026

Questionnaire Responses Do not Capture the Safety of AI Agents.

Max Hellrigel-Holderbaum, Edward James Young

CoRR, March, 2026

Diagnosing Pathological Chain-of-Thought in Reasoning Models.

Manqing Liu, David Williams-King, Ida Caspary, Linh Le, Hannes Whittingham, Puria Radmard, Cameron Tice, Edward James Young

CoRR, February, 2026

2025

KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF.

Jason Ross Brown, Lennie Wells, Edward James Young, Sergio Bacallado

CoRR, August, 2025

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework.

Rishane Dassanayake, Mario Demetroudi, James Walpole, Lindley Lentati, Jason Ross Brown, Edward James Young

CoRR, July, 2025

AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents.

Akshat Naik, Patrick Quinn, Guillermo Bosch, Emma Gouné, Francisco Javier Campos Zabala, Jason Ross Brown, Edward James Young

CoRR, June, 2025

Large language models can learn and generalize steganographic chain-of-thought under process supervision.

Joey Skaf, Luis Ibañez-Lissen, Robert McCarthy, Connor Watts, Vasil Georgiv, Hannes Whittingham, Lorena González-Manzano, David Lindner, Cameron Tice, Edward James Young, Puria Radmard

CoRR, June, 2025

2024

Reinforcement Learning applied to Insurance Portfolio Pursuit.

Edward James Young, Alistair Rogers, Elliott Tong, James Jordon

CoRR, 2024