Michael Littman
21 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7)
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π
Academic Marathon
(12)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(110)
π
Century Club
(21)
π
Trend Setter
π
Conference Pioneer
Conferences
ICML (9)
AAAI (3)
NAACL (3)
AISTATS (2)
IJCAI (2)
NIPS (1)
RSS (1)
Top co-authors
Keywords
reinforcement learning
(6)
state abstraction
(5)
value function
(4)
transfer learning
(3)
pac learning
(2)
robot manipulation
(2)
lifelong reinforcement learning
(2)
sample complexity
(2)
planning algorithm
(2)
imitation learning
(2)
hierarchical learning
(1)
hierarchical planning
(1)
text classification
(1)
text generation
(1)
benchmark evaluation
(1)
stochastic optimization
(1)
inverse reinforcement learning
(1)
policy optimization
(1)
computational complexity
(1)
natural language understanding
(1)
Papers
Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages
NAACL 2025
Knowledge Retention in Continual Model-Based Reinforcement Learning
ICML 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
Task Scoping for Efficient Planning in Open Worlds (Student Abstract)
AAAI 2020
People Do Not Just Plan,They Plan to Plan
AAAI 2020
Value Preserving State-Action Abstractions
AISTATS 2020
The Expected-Length Model of Options
IJCAI 2019
Finding Options that Minimize Planning Time
ICML 2019
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
IJCAI 2019
Policy and Value Transfer in Lifelong Reinforcement Learning
ICML 2018
Lipschitz Continuity in Model-based Reinforcement Learning
ICML 2018
State Abstractions for Lifelong Reinforcement Learning
ICML 2018
Showing versus doing: Teaching by demonstration
NIPS 2016
Near Optimal Behavior via Approximate State Abstraction
ICML 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