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Research map / Reinforcement learning / MDPs and planning

Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes

AAAI 2020 · Reinforcement learning › MDPs and planning · approach: Average-reward and regularized MDPs · 66 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add Gaussian noise to GridWorld state representationsNeural bisimulation metric approximant · GridWorld and continuous GridWorld variantmetric approximation performanceNo clear effect

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