Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction

28 Nov 2019Vishal JainWilliam FedusHugo LarochelleDoina PrecupMarc G. Bellemare

Text-based games are a natural challenge domain for deep reinforcement learning algorithms. Their state and action spaces are combinatorially large, their reward function is sparse, and they are partially observable: the agent is informed of the consequences of its actions through textual feedback... (read more)

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