3260 papers • 126 benchmarks • 313 datasets
Commonsense reasoning for Reinforcement Learning agents
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This paper designs a new text-based gaming environment called TextWorld Commonsense (TWC) for training and evaluating RL agents with a specific kind of commonsense knowledge about objects, their attributes, and affordances, and shows that agents which incorporate Commonsense knowledge in TWC perform better, while acting more efficiently.
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