Michael Littman
21 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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Trend Setter
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Conference Pioneer
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Renaissance Researcher
(7)
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Century Club Β· Bronze
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Keyword Collector
(114)
Top co-authors
Research topics
Artificial Intelligence
(14)
Reinforcement Learning
(13)
Core AI
(12)
Methods
(11)
Machine Learning
(10)
Optimization & Theory
(8)
Applications Β· Reinforcement Learning
(6)
Learning Types
(5)
Natural Language Processing
(4)
Learning Paradigms
(4)
Applications Β· Natural Language Processing
(3)
Interdisciplinary
(2)
Robotics
(2)
Capabilities
(2)
Knowledge & Reasoning
(1)
Keywords
reinforcement learning
(6)
state abstraction
(5)
value function
(4)
transfer learning
(3)
pac learning
(2)
planning algorithm
(2)
robot manipulation
(2)
sample complexity
(2)
lifelong reinforcement learning
(2)
imitation learning
(2)
model-based reinforcement learning
(2)
hierarchical planning
(1)
benchmark evaluation
(1)
hierarchical learning
(1)
text classification
(1)
continual learning
(1)
stochastic optimization
(1)
computational complexity
(1)
policy optimization
(1)
natural language understanding
(1)
Papers
Knowledge Retention in Continual Model-Based Reinforcement Learning
ICML 2025
Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages
NAACL 2025
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
AISTATS 2023
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable
AAAI 2023
Meta-learning Parameterized Skills
ICML 2023
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data
NAACL 2022
Selecting Context Clozes for Lightweight Reading Compliance
NAACL 2022
People Do Not Just Plan,They Plan to Plan
AAAI 2020
Task Scoping for Efficient Planning in Open Worlds (Student Abstract)
AAAI 2020
Value Preserving State-Action Abstractions
AISTATS 2020
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
IJCAI 2019
Finding Options that Minimize Planning Time
ICML 2019
The Expected-Length Model of Options
IJCAI 2019
Lipschitz Continuity in Model-based Reinforcement Learning
ICML 2018
Policy and Value Transfer in Lifelong Reinforcement Learning
ICML 2018
State Abstractions for Lifelong Reinforcement Learning
ICML 2018
Near Optimal Behavior via Approximate State Abstraction
ICML 2016
Showing versus doing: Teaching by demonstration
NeurIPS 2016
Grounding English Commands to Reward Functions
RSS 2015
Coco-Q: Learning in Stochastic Games with Side Payments
ICML 2013
The Cross-Entropy Method Optimizes for Quantiles
ICML 2013