Neuro-Symbolic Reinforcement Learning with First-Order Logic

Deep reinforcement learning (RL) methods often require many trials before convergence, and no direct interpretability of trained policies is provided. In order to achieve fast convergence and interpretability for the policy in RL, we propose a novel RL method for text-based games with a recent neuro...

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Hauptverfasser:	Kimura, Daiki, Ono, Masaki, Chaudhury, Subhajit, Kohita, Ryosuke, Wachi, Akifumi, Agravante, Don Joven, Tatsubori, Michiaki, Munawar, Asim, Gray, Alexander
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Learning Computer Science - Robotics
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