Equilibrium World Models are a deep-learning solver that enforces exact equilibrium conditions on broad model-generated state distributions to globally solve dynamic stochastic models featuring rare disasters, binding constraints, and counterfactual states.
arXiv preprint arXiv:2112.14377 , year=
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Order isomorphisms transmit optimality across dynamic program formulations, with applications to Epstein-Zin preferences and numerical value function improvements.
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Equilibrium World Models
Equilibrium World Models are a deep-learning solver that enforces exact equilibrium conditions on broad model-generated state distributions to globally solve dynamic stochastic models featuring rare disasters, binding constraints, and counterfactual states.
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Isomorphic Dynamic Programs
Order isomorphisms transmit optimality across dynamic program formulations, with applications to Epstein-Zin preferences and numerical value function improvements.