Bellman optimality equation
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New KETCHUP method improves reinforcement learning for text generation
Researchers have introduced KETCHUP, a new method for knowledge distillation in text generation tasks using reinforcement learning. KETCHUP employs a k-step return estimation technique based on the Bellman Optimality Eq…
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Researchers find three symmetric solutions for Bellman equation in repeated harmony games
Researchers have explored the symmetric solution of the Bellman optimality equation within the context of a repeated harmony game. Their analysis revealed three distinct types of symmetric solutions. Two of these soluti…
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New Bellman Equation Targets Plasticity in Reinforcement Learning
Researchers have introduced a new Bellman optimality equation specifically designed to optimize plasticity in continual reinforcement learning. This work builds upon a prior formalization that reframed the stability-pla…