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• 7 octobre 2025 à 15:29 Patrickdrouin discussion contributions a créé la page Reinforcement Learning with Verifiable Rewards (Page créée avec « == En construction == == Définition == Reinforcement learning (RL) in verifiable domains uses models that learn to solve problems in areas like programming and math by receiving feedback (rewards or penalties) on their performance, which is verified by external systems. This approach enhances AI reasoning capabilities by allowing agents to test their own solutions, learn from mistakes, and improve through a self-correcting cycle, leading to emergent behaviors a... »)