Michael Littman
Brown University
H-index: 93
North America-United States
Top articles of Michael Littman
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Software Engineering of Machine Learning Systems | Communications of the ACM | Charles Isbell Michael L Littman Peter Norvig | 2023/1/20 |
Task Scoping: Generating Task-Specific Simplifications of Open-Scope Planning Problems | Michael Fishman Nishanth Kumar Cameron Allen Natasha Danas Michael Littman | 2023/8/17 | |
Helping Users Debug Trigger-Action Programs | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies | Lefan Zhang Cyrus Zhou Michael L Littman Blase Ur Shan Lu | 2023/1/11 |
Computably continuous reinforcement-learning objectives are PAC-learnable | Proceedings of the AAAI Conference on Artificial Intelligence | Cambridge Yang Michael Littman Michael Carbin | 2023/6/26 |
NSF on Chien's Grand Challenge for Sustainability | Communications of the ACM | Nina Amla Dilma Da Silva Michael Littman Manish Parashar | 2023/4/21 |
Resolving Partial Observability in Decision Processes via the Lambda Discrepancy | Cameron Allen Aaron T Kirtland Ruo Yu Tao Daniel Scott Sam Lobel | 2023/10/13 | |
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces | Omer Gottesman Kavosh Asadi Cameron S Allen Samuel Lobel George Konidaris | 2023/4/11 | |
Code to Joy: Why Everyone Should Learn a Little Programming | Michael L Littman | 2023/10/3 | |
A domain-agnostic approach for characterization of lifelong learning systems | Neural Networks | Megan M Baker Alexander New Mario Aguilar-Simon Ziad Al-Halah Sébastien MR Arnold | 2023/3/1 |
Expressing non-Markov reward to a Markov agent | Multidisciplinary Conference on Reinforcement Learning and Decision Making | David Abel André Barreto Michael Bowling Will Dabney Steven Hansen | 2022 |
Where, when & which concepts does AlphaZero learn? Lessons from the game of Hex | AAAI Workshop on Reinforcement Learning in Games | Jessica Zosa Forde Charles Lovering George Konidaris Ellie Pavlick Michael L Littman | 2022/2 |
Explaining why: How instructions and user interfaces impact annotator rationales when labeling text data | Jamar Sullivan William Brackenbury Andrew McNut Kevin Bryson Yuxin Chen | 2022/7 | |
Model-based lifelong reinforcement learning with bayesian exploration | Haotian Fu Shangqun Yu Michael Littman George Konidaris | 2022/10/20 | |
Reinforcement Learning with General LTL Objectives is Intractable | Cambridge Yang Michael Littman Michael Carbin | 2022/1/19 | |
Meta-learning parameterized skills | Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris | 2023/6/15 | |
Reward-Predictive Clustering | arXiv preprint arXiv:2211.03281 | Lucas Lehnert Michael J Frank Michael L Littman | 2022/11/7 |
Fair E3: Efficient welfare-centric fair reinforcement learning | 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. RLDM | Cyrus Cousins Kavosh Asadi Michael L Littman | 2022 |
People construct simplified mental representations to plan | Nature | Mark K Ho David Abel Carlos G Correa Michael L Littman Jonathan D Cohen | 2022/6 |
Lifelong Learning of Perception and Action in Autonomous Systems | Eric Eaton Satinder Baveja Kristen Grauman George Konidaris Erik Learned-Miller | 2022/11/2 | |
Specifying Behavior Preference with Tiered Reward Functions | arXiv preprint arXiv:2212.03733 | Zhiyuan Zhou Henry Sowerby Michael L Littman | 2022/12/7 |
