536 citations · 2k across the 52 of their papers we have counts for
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Learning Knowledge Graph-based World Models of Textual Environments
Prithviraj Ammanabrolu, Mark O. Riedl
World models improve a learning agent's ability to efficiently operate in interactive and situated environments. This work focuses on the task of building world models of text-base…
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents
Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo +1
Text-based games -- in which an agent interacts with the world through textual natural language -- present us with the problem of combinatorially-sized action-spaces. Most current…
Improving Deep Reinforcement Learning in Minecraft with Action Advice
Spencer Frazier, Mark Riedl
Training deep reinforcement learning agents complex behaviors in 3D virtual environments requires significant computational resources. This is especially true in environments with…
Combinets: Creativity via Recombination of Neural Networks
Matthew Guzdial, Mark O. Riedl
One of the defining characteristics of human creativity is the ability to make conceptual leaps, creating something surprising from typical knowledge. In comparison, deep neural ne…