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Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes., , and . CoRR, (2021)Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes., , and . AAAI, page 6970-6977. AAAI Press, (2022)Planning with a Learned Policy Basis to Optimally Solve Complex Tasks., , , , and . CoRR, (2024)Social Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems., , , , and . Int. J. Interact. Multim. Artif. Intell., 1 (4): 61-66 (2011)Using rules to adapt applications for business models with high evolutionary rates., , , and . Int. J. Interact. Multim. Artif. Intell., 2 (2): 56-62 (2013)Neural Network Modelling And Simulation Of The Scheduling., , and . BASYS, volume 266 of IFIP, page 231-238. Springer, (2008)Gade4all: Developing Multi-platform Videogames based on Domain Specific Languages and Model Driven Engineering., , , , and . Int. J. Interact. Multim. Artif. Intell., 2 (2): 33-42 (2013)Social Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems, , , , and . (2012)Knowledge-based public service transactions: An intelligent model-driven approach in co-learning contexts., , , , and . Comput. Hum. Behav., (2015)Creating recommendations on electronic books: A collaborative learning implicit approach., , , , and . Comput. Hum. Behav., (2015)