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A Bayesian Sampling Approach to Exploration in Reinforcement Learning, , , , and . CoRR, (2012)Model-Based Control of Soft Actuators Using Learned Non-linear Discrete-Time Models., , and . Front. Robotics and AI, (2019)A Bayesian Sampling Approach to Exploration in Reinforcement Learning., , , , and . UAI, page 19-26. AUAI Press, (2009)Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems., and . AAAI, page 524-529. AAAI Press, (2006)Leveraging Large Language Models for Multiple Choice Question Answering., and . ICLR, OpenReview.net, (2023)Predictive Linear-Gaussian Models of Stochastic Dynamical Systems., , and . UAI, page 501-508. AUAI Press, (2005)Efficiently learning linear-linear exponential family predictive representations of state., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1176-1183. ACM, (2008)Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs., , and . CoRR, (2018)Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning., , , , and . CoRR, (2019)Out of One, Many: Using Language Models to Simulate Human Samples., , , , , and . CoRR, (2022)