NPG-based actor-critic with Lagrangian for model-free chance-constrained LQG, claiming linear convergence, critic convergence via TD(0), and no duality gap.
Learning control barrier functions and their application in reinforcement learning: A survey,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Robust Koopman-CBF SAC learns Koopman predictors from data, tightens lifted CBF constraints with a data-estimated residual margin, and applies a QP safety filter inside SAC, reporting zero constraint violations on CartPole while matching unconstrained returns.
citing papers explorer
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Model-free LQG Control with Chance Constraints
NPG-based actor-critic with Lagrangian for model-free chance-constrained LQG, claiming linear convergence, critic convergence via TD(0), and no duality gap.
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Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning
Robust Koopman-CBF SAC learns Koopman predictors from data, tightens lifted CBF constraints with a data-estimated residual margin, and applies a QP safety filter inside SAC, reporting zero constraint violations on CartPole while matching unconstrained returns.