Neuro-Symbolic Inverse Constrained Reinforcement Learning.
Published in 19th Conference on Neurosymbolic Learning and Reasoning, 2025
Recommended citation: Deane, O., & Ray, O. Neuro-Symbolic Inverse Constrained Reinforcement Learning. In 19th International Conference on Neurosymbolic Learning and Reasoning.
This paper presents a suite of interactive mechanisms that enables human-in-the-loop inference of reinforcement learning constraints.
Deane, O., Ray, O. (2025). A Human-in-the-Loop Approach to Learning Social Norms and Behavioural Policies. In Companion Proceedings of the 3rd World Conference on Explainable Artificial Intelligence (in press).