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Wasserstein Auto-encoded Markov Decision Processes: a framework to distill Reinforcement Learning policies into verifiable controllers with bisimulation guarantees
Implementation of Variational Markov Decision Processes, a framework allowing to (i) distill policies learned through (deep) reinforcement learning and (ii) learn discrete abstractions of continuou…