activity
20182022
most citedGraph Constrained Reinforcement Learning for Natural Language Action Spaces

36 citations · 119 across the 10 of their papers we have counts for

collaborators
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5 papers · 1 filter

cs.AI2021

Situated Language Learning via Interactive Narratives

Prithviraj Ammanabrolu, Mark O. Riedl

This paper provides a roadmap that explores the question of how to imbue learning agents with the ability to understand and generate contextually relevant natural language in servi…

cs.AI202017 cited

Playing Text-Based Games with Common Sense

Sahith Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu +1

Text based games are simulations in which an agent interacts with the world purely through natural language. They typically consist of a number of puzzles interspersed with interac…

cs.AI202024 cited

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds

Prithviraj Ammanabrolu, Ethan Tien, Matthew Hausknecht +1

Text-based games are long puzzles or quests, characterized by a sequence of sparse and potentially deceptive rewards. They provide an ideal platform to develop agents that perceive…

cs.AI20206 cited

Bringing Stories Alive: Generating Interactive Fiction Worlds

Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu +2

World building forms the foundation of any task that requires narrative intelligence. In this work, we focus on procedurally generating interactive fiction worlds---text-based worl…

cs.AI2019

Interactive Fiction Games: A Colossal Adventure

Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté +1

A hallmark of human intelligence is the ability to understand and communicate with language. Interactive Fiction games are fully text-based simulation environments where a player i…