Matthew Hausknecht
3 papers in the PaperMetrix corpus
Papers by this author
-
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
2018 · arXiv (Cornell University)
Program synthesis is the task of automatically generating a program consistent with a specification. Recent years have seen proposal of a number of neural approaches for program synthesis, many of which adopt a sequence generation …
-
Counting to Explore and Generalize in Text-based Games
2018 · arXiv (Cornell University)
We propose a recurrent RL agent with an episodic exploration mechanism that helps discovering good policies in text-based game environments. We show promising results on a set of generated text-based games of varying difficulty where …
-
Graph Constrained Reinforcement Learning for Natural Language Action Spaces
2020 · arXiv (Cornell University)
Interactive Fiction games are text-based simulations in which an agent interacts with the world purely through natural language. They are ideal environments for studying how to extend reinforcement learning agents to meet the challenges of …