Can you see how I learn? Human observers' inferences about Reinforcement Learning agents' learning processes

arXiv:2506.13583 · cs.HC, cs.AI, cs.RO · Submitted 2026-08-21 · Read on arXiv

Bernhard Hilpert, Muhan Hou, Kim Baraka, Joost Broekens

cs.HC, cs.AI, cs.RO

Submitted: 2026-08-21

Updated: 2026-08-24

Terminology

Decision Making — 16× in this paper
Learning Mechanisms — 15× in this paper
Reinforcement Learning — 12× in this paper · explained in 4 episodes
Human-in-the-Loop — 7× in this paper · explained in 3 episodes
Affective Computing — 5× in this paper · explained in 1 episode
Reinforcement Learning (RL) — 4× in this paper · explained in 25 episodes
Accuracy — 3× in this paper · explained in 1 episode
Core — 3× in this paper · explained in 2 episodes
Explainability — 3× in this paper · explained in 3 episodes
Alignment — 2× in this paper · explained in 1 episode
Procedural Knowledge — 2× in this paper · explained in 2 episodes
Reward Function — 2× in this paper · explained in 2 episodes
Abstraction — 1× in this paper · explained in 1 episode
Action Space — 1× in this paper · explained in 1 episode
Actor — 1× in this paper · explained in 3 episodes
Adaptation — 1× in this paper · explained in 1 episode
Adaptive Teaching — 1× in this paper · explained in 1 episode
Affective Signal — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Conference on Affective Computing and Intelligent Interaction — 1× in this paper
Generalizability — 1× in this paper · explained in 6 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Q-learning — 1× in this paper · explained in 3 episodes
Robustness — 1× in this paper · explained in 5 episodes