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Found 2 papers, 1 papers with code
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
To address this, first we use a normalizing flow model to learn an invertible, differentiable mapping between the feasible action space and the support of a simple distribution on a latent variable, such as Gaussian.
Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems
Solving multiagent problems can be an uphill task due to uncertainty in the environment, partial observability, and scalability of the problem at hand.
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