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Maximum entropy GFlowNets with soft Q-learning
Generative Flow Networks (GFNs) have emerged as a powerful tool for sampling discrete objects from unnormalized distributions, offering a scalable alternative to Markov Chain Monte Carlo (MCMC) methods.
Arc travel time and path choice model estimation subsumed
We propose a method for maximum likelihood estimation of path choice model parameters and arc travel time using data of different levels of granularity.
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