Analyzes likelihood-constrained adversarial observation shifts and their effects on latent states and policies in linear probabilistic SSMs used for RL.
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Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning
Analyzes likelihood-constrained adversarial observation shifts and their effects on latent states and policies in linear probabilistic SSMs used for RL.