Adaptive Locomotion of Soft Microrobots
Networked Control and Communication
Controller Learning using Bayesian Optimization
Event-based Wireless Control of Cyber-physical Systems
Model-based Reinforcement Learning for PID Control
Learning Probabilistic Dynamics Models
Gaussian Filtering as Variational Inference
Human Planning and Decision-Making
] with resource-rational analysis [], computational modeling, and large scale online experiments. We have developed a resource-rational model of the computational mechanisms of human planning [], empirically characterized the corresponding strategies of human planning [], and derived common strategies of financial decision-making under uncertainty from the principle of resource rationality [].
We investigate which cognitive strategies people use for planning and decision-making. Our approach combines new empirical and computational methods for inferring the cognitive strategies of human planning from observable behavior [] with resource-rational analysis [], computational modeling, and large scale online experiments. We have developed a resource-rational model of the computational mechanisms of human planning [], empirically characterized the corresponding strategies of human planning [], and derived common strategies of financial decision-making under uncertainty from the principle of resource rationality [].
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