EFE-based planning is formulated as variational free energy minimization with epistemic priors, decomposing into expected plan costs plus a complexity term.
Chance-ConstrainedOptimalPathPlanningWithObstacles
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EFE-based active inference planning is characterized as VFE on an augmented model plus entropy and planning corrections, with a derived message-passing implementation and grid-world validation.
SODA uses differential algebra and adaptive Gaussian mixtures to solve chance-constrained nonlinear trajectory optimization problems for space missions with non-Gaussian uncertainties.
OCULAR applies conformal prediction to semantic perception data for local calibration of dynamics model uncertainty, yielding guaranteed prediction regions without environment-specific calibration data.
citing papers explorer
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Expected Free Energy-based Planning as Variational Inference
EFE-based planning is formulated as variational free energy minimization with epistemic priors, decomposing into expected plan costs plus a complexity term.
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What Type of Inference is Active Inference?
EFE-based active inference planning is characterized as VFE on an augmented model plus entropy and planning corrections, with a derived message-passing implementation and grid-world validation.
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Non-linear stochastic trajectory optimisation
SODA uses differential algebra and adaptive Gaussian mixtures to solve chance-constrained nonlinear trajectory optimization problems for space missions with non-Gaussian uncertainties.
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Local Conformal Calibration of Dynamics Uncertainty from Semantic Images
OCULAR applies conformal prediction to semantic perception data for local calibration of dynamics model uncertainty, yielding guaranteed prediction regions without environment-specific calibration data.