By making text-based games more accessible to RL agents, Jericho framework opens up exciting natural language challenges - Microsoft Research
By Matthew Hausknecht , Senior Researcher Marc-Alexandre Côté , Principal Researcher Eric Yuan , Senior Researcher Prithviraj Ammanabrolu , PhD student Share this page You’re in a field. In front of you, there’s a white house. The door is boarded shut. The immediate challenge—investigate the house. The game—Zork I: The Great Underground Empire, a treasure-seeking adventure in which you’ll encounter monsters, a thief, and other interesting characters along the way. As a player of this text-based game, you string together simple commands of only several words, like “walk to the house.” Once there, you type a series of commands, not all of them fruitful, to circle the house until you find a way in. There is a window ajar. You “open the window” and “enter the house,” the adventure truly beginning. To continue between rooms within the house and locations beyond and to interact with the objects you find, you rely on your ability to recall prior information like realizing the lantern you n
By making text-based games more accessible to RL agents, Jericho framework opens up exciting natural language challenges - Microsoft Research Skip to main content Research Publications Code & data People Microsoft Research blog Artificial intelligence Audio & acoustics Computer vision Graphics & multimedia Human-computer interaction Human language technologies Search & information retrieval Data platforms and analytics Hardware & devices Programming languages & software engineering Quantum computing Security, privacy & cryptography Systems & networking Algorithms Mathematics Ecology & environm
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