UC San Diego

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2026

Temporal Difference Learning for World Modeling: PhD Defense - Nicklas Hansen

This dissertation presents temporal-difference learning methods for building world models that enable intelligent agents and robots to predict, plan and act. It introduces TD-MPC, which learns compact latent dynamics, rewards and value estimates for…