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Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning
Using modern day AI techniques, such as affinity-based reinforcement learning and explainable AI, we motivate the implementation of virtuous agents that play such role-playing games, and the examination of their decisions through a virtue ethical lens.
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?
Personalisation of products and services is fast becoming the driver of success in banking and commerce.
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization
These methods rely on empirical observations of the policy and thus aim to generalize a characterization of agents' behaviour.
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
The past decade has seen significant progress in artificial intelligence (AI), which has resulted in algorithms being adopted for resolving a variety of problems.
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