Matthew Hausknecht
14 papers · 2015–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Champion
(2)
π
Grand Slam
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(81)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(12)
Deep Learning
(7)
Reinforcement Learning
(7)
Machine Learning
(6)
Applications
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(4)
Methods
(3)
Natural Language Processing
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Generation
(1)
Optimization & Theory
(1)
Keywords
reinforcement learning
(7)
language understanding
(3)
text-based game
(2)
action generation
(2)
sequential decision making
(2)
program synthesis
(2)
game ai
(2)
interactive fiction
(2)
interactive learning
(1)
knowledge transfer
(1)
offline reinforcement learning
(1)
neural machine translation
(1)
policy learning
(1)
working memory
(1)
video classification
(1)
general agents
(1)
few-shot learning
(1)
arcade learning environment
(1)
natural language understanding
(1)
game artificial intelligence
(1)
Papers
syftr: Pareto-Optimal Generative AI
AutoML 2025
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
NeurIPS 2022
Uni[MASK]: Unified Inference in Sequential Decision Problems
NeurIPS 2022
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
ICLR 2021
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
NAACL 2021
Graph Constrained Reinforcement Learning for Natural Language Action Spaces
ICLR 2020
Interactive Fiction Games: A Colossal Adventure
AAAI 2020
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
EMNLP 2020
Learning Calibratable Policies using Programmatic Style-Consistency
ICML 2020
Working Memory Graphs
ICML 2020
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
ICLR 2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
IJCAI 2018
Neural Program Meta-Induction
NeurIPS 2017
Beyond Short Snippets: Deep Networks for Video Classification
CVPR 2015