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Analytical Results on the BFS vs. DFS Algorithm Selection Problem. Part I: Tree Search.

, and . Australasian Conference on Artificial Intelligence, volume 9457 of Lecture Notes in Computer Science, page 157-165. Springer, (2015)

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Self-Modification of Policy and Utility Function in Rational Agents., , , and . AGI, volume 9782 of Lecture Notes in Computer Science, page 1-11. Springer, (2016)Sequential Extensions of Causal and Evidential Decision Theory., , and . ADT, volume 9346 of Lecture Notes in Computer Science, page 205-221. Springer, (2015)AGI Safety Literature Review., , and . IJCAI, page 5441-5449. ijcai.org, (2018)Reinforcement Learning with a Corrupted Reward Channel., , , , and . CoRR, (2017)Free Lunch for optimisation under the universal distribution., , and . IEEE Congress on Evolutionary Computation, page 167-174. IEEE, (2014)How RL Agents Behave When Their Actions Are Modified., and . AAAI, page 11586-11594. AAAI Press, (2021)A Game-Theoretic Analysis of the Off-Switch Game., , , , and . AGI, volume 10414 of Lecture Notes in Computer Science, page 167-177. Springer, (2017)Can we measure the difficulty of an optimization problem?, , and . ITW, page 356-360. IEEE, (2014)Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective., and . CoRR, (2019)Honesty Is the Best Policy: Defining and Mitigating AI Deception., , , and . CoRR, (2023)