The Dually Flat Geometry of Planning as Inference
The episode discusses a paper titled "The Dually Flat Geometry of Planning as Inference," which connects planning in Markov Decision Processes (MDPs) to the geometry of statistical inference using dually flat manifolds. Hosts explore how a 'resetting planning process' models long-term outcomes, leading to a unified framework for decision-making that moves beyond simple reward maximization.