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Death and Suicide in Universal Artificial Intelligence.

, , and . AGI, volume 9782 of Lecture Notes in Computer Science, page 23-32. Springer, (2016)

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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)How RL Agents Behave When Their Actions Are Modified., and . AAAI, page 11586-11594. AAAI Press, (2021)Free Lunch for optimisation under the universal distribution., , and . IEEE Congress on Evolutionary Computation, page 167-174. IEEE, (2014)Count-Based Exploration in Feature Space for Reinforcement Learning., , , and . IJCAI, page 2471-2478. ijcai.org, (2017)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)Avoiding Wireheading with Value Reinforcement Learning., and . AGI, volume 9782 of Lecture Notes in Computer Science, page 12-22. Springer, (2016)PyCID: A Python Library for Causal Influence Diagrams., , , , , and . SciPy, page 65-73. scipy.org, (2021)Reasoning about Causality in Games (Abstract Reprint)., , , , , and . AAAI, page 22697. AAAI Press, (2024)