Explaining RL Agents from the Lens of Perception, Memory, and Uncertainties

Understanding the causal reasoning behind RL agents’ decisions is vital for trust and adaptability in real-world scenarios. Several factors influence the decision-making process of these agents — how they perceive the world, how they use memory in conjunction with perception, and how they express the uncertainties inherent in decision-making. This talk outlines the advances achieved in each of these domains throughout my doctoral research.