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Verified Probabilistic Policies for Deep Reinforcement Learning
Deep reinforcement learning is an increasingly popular technique for synthesising policies to control an agent's interaction with its environment.
Probabilistic Guarantees for Safe Deep Reinforcement Learning
Deep reinforcement learning has been successfully applied to many control tasks, but the application of such agents in safety-critical scenarios has been limited due to safety concerns.
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