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A comparison of Bayesian Markov chain Monte Carlo methods in a multilevel scenario., , and . Commun. Stat. Simul. Comput., 52 (10): 4756-4772 (October 2023)Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games., , , , , and . CoG, page 1-8. IEEE, (2021)Phy-Q: A Benchmark for Physical Reasoning., , , , , and . CoRR, (2021)Measuring Difficulty of Novelty Reaction., , , , , and . CoRR, (2022)NovPhy: A Testbed for Physical Reasoning in Open-world Environments., , , , , , and . CoRR, (2023)The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds., , , and . CoRR, (2021)The Difficulty of Novelty Detection and Adaptation in Physical Environments., , , and . AI (2), volume 14472 of Lecture Notes in Computer Science, page 28-40. Springer, (2023)Phy-Q as a measure for physical reasoning intelligence., , , , , and . Nat. Mac. Intell., 5 (1): 83-93 (January 2023)Deceptive Level Generation for Angry Birds., , , and . CoG, page 1-8. IEEE, (2021)Physics-Based Task Generation through Causal Sequence of Physical Interactions., , , and . AIIDE, page 53-63. AAAI Press, (2023)