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On Requirements and Design Criteria for Explainability in Legal AI.

, and . XAILA@JURIX, volume 2381 of CEUR Workshop Proceedings, page 29-32. CEUR-WS.org, (2018)

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Statistical Relational Learning of Object Affordances for Robotic Manipulation., , , , and . ILP (Late Breaking Papers), page 95-103. Imperial College Press / World Scientific, (2011)Conclusions, Future Directions and Outlook., and . Reinforcement Learning, volume 12 of Adaptation, Learning, and Optimization, Springer, (2012)Reports of the AAAI 2014 Conference Workshops, , , , , , , , , and 24 other author(s). AI Magazine, 36 (1): 87--98 (2015)Regular Decision Processes for Grid Worlds., and . BNAIC/BENELEARN, volume 1530 of Communications in Computer and Information Science, page 218-238. Springer, (2021)Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning., , , and . BNCAI, volume 823 of Communications in Computer and Information Science, page 145-160. Springer, (2017)Bellman goes relational., , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)Learning relational affordance models for robots in multi-object manipulation tasks., , , , and . ICRA, page 4373-4378. IEEE, (2012)End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning., , , , and . WI, page 258-264. ACM, (2019)Personalization of Health Interventions Using Cluster-Based Reinforcement Learning., , , and . PRIMA, volume 11224 of Lecture Notes in Computer Science, page 467-475. Springer, (2018)Gatekeeping Algorithms with Human Ethical Bias: The ethics of algorithms in archives, libraries and society.. CoRR, (2018)