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cs.LG2026
Inverting the Bellman Equation: From -Values to World Models
Alistair Letcher, Mattie Fellows, Alexander D. Goldie +3
Model-based and model-free reinforcement learning are traditionally viewed as separate paradigms: instead of learning a model of the transition kernel , model-free agents typica…
cs.LG2026
Affordances Enable Partial World Modeling with LLMs
Khimya Khetarpal, Gheorghe Comanici, Jonathan Richens +5
Full models of the world require complex knowledge of immense detail. While pre-trained large models have been hypothesized to contain similar knowledge due to extensive pre-traini…