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Discovering Social Interaction Strategies for Robots from Restricted-Perception Wizard-of-Oz Studies.

, , , , , , , and . HRI, page 197-204. IEEE/ACM, (2016)

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Learning Generative Models of Social Interactions with Humans-in-the-Loop., , , , and . ICMLA, page 509-516. IEEE, (2018)Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations., and . Artif. Intell., (2020)Learning by appraising: an emotion-based approach to intrinsic reward design., , and . Adapt. Behav., 22 (5): 330-349 (2014)Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning., , and . CoRR, (2022)An Associative State-Space Metric for Learning in Factored MDPs., , and . EPIA, volume 8154 of Lecture Notes in Computer Science, page 163-174. Springer, (2013)Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments., , , and . CoRR, (2022)ION Framework - A Simulation Environment for Worlds with Virtual Agents., , , , , , and . IVA, volume 5773 of Lecture Notes in Computer Science, page 418-424. Springer, (2009)IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness., and . xAI (1), volume 1901 of Communications in Computer and Information Science, page 373-396. Springer, (2023)Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space., , , and . xAI (3), volume 1903 of Communications in Computer and Information Science, page 449-469. Springer, (2023)Learning to interact: connecting perception with action in virtual environments., and . AAMAS (3), page 1257-1260. IFAAMAS, (2008)