Contributed Recorded Talk
in
Workshop: Workshop on Human-Machine Collaboration and Teaming

Argumentative reward learning: Reasoning about human preferences. Francis Rhys Ward

2022 Contributed Recorded Talk
in
Workshop: Workshop on Human-Machine Collaboration and Teaming

Abstract

We define a novel neuro-symbolic framework, argumentative reward learning, which combines preference-based argumentation with existing approaches to reinforcement learning from human feedback. Our method improves prior work by generalising human preferences, reducing the burden on the user and increasing the robustness of the reward model. We demonstrate this with a number of experiments.

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