3 papers
cs.LG2025
The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents
Antony Bartlett, Cynthia Liem, Annibale Panichella
Testing deep reinforcement learning (DRL) agents in safety-critical domains requires discovering diverse failure scenarios. Existing tools such as INDAGO rely on single-objective o…
cs.SE2025
The Last Dependency Crusade: Solving Python Dependency Conflicts with LLMs
Antony Bartlett, Cynthia Liem, Annibale Panichella
Resolving Python dependency issues remains a tedious and error-prone process, forcing developers to manually trial compatible module versions and interpreter configurations. Existi…
cs.AI2024
Position: Stop Making Unscientific AGI Performance Claims
Patrick Altmeyer, Andrew M. Demetriou, Antony Bartlett +1
Developments in the field of Artificial Intelligence (AI), and particularly large language models (LLMs), have created a 'perfect storm' for observing 'sparks' of Artificial Genera…