Exploration Based Language Learning for Text-Based Games

Understand

This work presents an exploration and imitation-learning-based agent capable of state-of-the-art performance in playing text-based computer games.

• Text-based computer games describe their world to the player through natural language and expect the player to interact with the game using text.
• These games are of interest as they can be seen as a testbed for language understanding, problem-solving, and language generation by artificial agents.
• Moreover, they provide a learning environment in which these skills can be acquired through interactions with an environment rather than using fixed corpora.