Michael Littman

21 papers A* 5A 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Knowledge Retention in Continual Model-Based Reinforcement Learning. ICML Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris
2025	—	`conf`	Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages. NAACL (Long Papers) Max Zuo, Francisco Piedrahita Velez, Xiaochen Li, Michael Littman, Stephen H. Bach
2025	J	`jnl`	The Landscape of Agentic Reinforcement Learning for LLMs: A Survey. CoRR Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhongzhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Michael Littman, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai
2024	J	`jnl`	On Welfare-Centric Fair Reinforcement Learning. RLJ Cyrus Cousins, Kavosh Asadi, Elita A. Lobo, Michael Littman
2024	J	`jnl`	Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired Behavior. RLJ Zhiyuan Zhou, Shreyas Sundara Raman, Henry Sowerby, Michael Littman
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	A	`conf`	Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. AISTATS Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman
2023	A*	`conf`	Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable. AAAI Cambridge Yang, Michael Littman, Michael Carbin
2023	J	`jnl`	Computably Continuous Reinforcement-Learning Objectives are PAC-learnable. CoRR Cambridge Yang, Michael Littman, Michael Carbin
2023	A*	`conf`	Meta-learning Parameterized Skills. ICML Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris
2023	J	`jnl`	NSF on Chien's Grand Challenge for Sustainability. Commun. ACM Nina Amla, Dilma Da Silva, Michael Littman, Manish Parashar
2022	J	`jnl`	Meta-Learning Transferable Parameterized Skills. CoRR Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman
2022	A*	`conf`	Model-based Lifelong Reinforcement Learning with Bayesian Exploration. NeurIPS Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris
2022	J	`jnl`	Model-based Lifelong Reinforcement Learning with Bayesian Exploration. CoRR Haotian Fu, Shangqun Yu, Michael Littman, George Dimitri Konidaris
2021	J	`jnl`	Coarse-Grained Smoothness for RL in Metric Spaces. CoRR Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman
2021	J	`jnl`	Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator. CoRR Homer Walke, Daniel Ritter, Carl Trimbach, Michael Littman
2021	J	`jnl`	Model Selection's Disparate Impact in Real-World Deep Learning Applications. CoRR Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael Littman
2020	J	`jnl`	Learning State Abstractions for Transfer in Continuous Control. CoRR Kavosh Asadi, David Abel, Michael Littman
2020	A*	`conf`	Task Scoping for Efficient Planning in Open Worlds (Student Abstract). AAAI Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris
2020	J	`jnl`	Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. CoRR Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris