Sheila McIlraith
7 papers · 2018–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Core AI
(3)
Methods
(3)
Deep Learning
(2)
Learning Types
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications · Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Keywords
off-policy learning
(2)
reward machine
(2)
instruction following
(2)
sequential decision making
(1)
supervised learning
(1)
heuristic search
(1)
hierarchical reinforcement learning
(1)
discrete optimization
(1)
constrained clustering
(1)
natural language
(1)
decision tree
(1)
exploration strategy
(1)
decision transformer
(1)
behavioral cloning
(1)
task decomposition
(1)
interpretable clustering
(1)
search algorithm
(1)
latent prior
(1)
text-based game
(1)
linear temporal logic
(1)
Papers
Optimal Decision Trees For Interpretable Clustering with Constraints
IJCAI 2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
NeurIPS 2023
Learning to Follow Instructions in Text-Based Games
NeurIPS 2022
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
NeurIPS 2022
Type-WA*: Using Exploration in Bounded Suboptimal Planning
IJCAI 2021
Learning Reward Machines for Partially Observable Reinforcement Learning
NeurIPS 2019
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
ICML 2018