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Universal Reinforcement Learning Algorithms: Survey and Experiments.

, , and . IJCAI, page 1403-1410. ijcai.org, (2017)

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Hidden Incentives for Auto-Induced Distributional Shift., , and . CoRR, (2020)Learning to Understand Goal Specifications by Modelling Reward., , , , , , and . ICLR (Poster), OpenReview.net, (2019)Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision., , , , , , , , , and 2 other author(s). CoRR, (2023)Generalised Discount Functions applied to a Monte-Carlo AI u Implementation., , , and . AAMAS, page 1589-1591. ACM, (2017)Sequential Extensions of Causal and Evidential Decision Theory., , and . ADT, volume 9346 of Lecture Notes in Computer Science, page 205-221. Springer, (2015)Deep Reinforcement Learning from Human Preferences., , , , , and . NIPS, page 4299-4307. (2017)Pitfalls of Learning a Reward Function Online., , , and . IJCAI, page 1592-1600. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Quantifying Differences in Reward Functions., , , , and . CoRR, (2020)Synthesis for Polynomial Lasso Programs., and . CoRR, (2013)On the Computability of AIXI., and . UAI, page 464-473. AUAI Press, (2015)