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Optimizing the depth and the direction of prospective planning using information values., , and . PLoS Comput. Biol., (2019)Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning., , , and . CoRR, (2023)Optimizing Sequential Experimental Design with Deep Reinforcement Learning., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2107-2128. PMLR, (2022)Mixed-Variable Black-Box Optimisation Using Value Proposal Trees., , , , , and . AAAI, page 11506-11514. AAAI Press, (2023)Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models., , , , and . NeurIPS, page 4233-4242. (2018)Disentangled behavioural representations., , , , , and . NeurIPS, page 2251-2260. (2019)TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning., , , and . NeurIPS, page 9330-9342. (2021)Neural Network Poisson Models for Behavioural and Neural Spike Train Data., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 10974-10996. PMLR, (2022)Learning the structure of the world: The adaptive nature of state-space and action representations in multi-stage decision-making., and . PLoS Comput. Biol., (2019)Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals., , , , and . CoRR, (2022)