Littman, Michael L.

Reinforcement Learning: A Survey

Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 8,972

Planning and acting in partially observable stochastic domains

Kaelbling, L. P., Littman, M. L., & Cassandra, A. R. (1998) · Artificial Intelligence

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 4,149

An analysis of model-based Interval Estimation for Markov Decision Processes

Strehl, A. L., & Littman, M. L. (2008) · Journal of Computer and System Sciences

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 428

Bayesian Adaptive Sampling for Variable Selection and Model Averaging

Clyde, M. A., Ghosh, J., & Littman, M. L. (2011) · Journal of Computational and Graphical Statistics

Markov Chains and Monte Carlo MethodsStatistical Methods and Inference

Cited by 247

An object-oriented representation for efficient reinforcement learning

Diuk, C., Cohen, A., & Littman, M. L. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 226

Interactive Learning from Policy-Dependent Human Feedback

MacGlashan, J., Ho, M. K., Loftin, R., Peng, B., Wang, G., Roberts, D., Taylor, M. E., & Littman, M. L. (2017) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 163

On the Computational Complexity of Stochastic Controller Optimization in POMDPs

Vlassis, N., Littman, M. L., & Barber, D. (2012) · ACM Transactions on Computation Theory

Complexity and Algorithms in GraphsReinforcement Learning in Robotics

Cited by 65

Collusion rings threaten the integrity of computer science research

Littman, M. L. (2021) · Communications of the ACM

Academic integrity and plagiarismAcademic Publishing and Open Access

Cited by 29

Planning and Learning in Environments with Delayed Feedback

Walsh, T. J., Nouri, A., Li, L., & Littman, M. L. (2007) · Lecture Notes in Computer Science

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 23

Theory of Minds: Understanding Behavior in Groups through Inverse Planning

Shum, M., Kleiman-Weiner, M., Littman, M. L., & Tenenbaum, J. B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Child and Animal Learning DevelopmentReinforcement Learning in Robotics

Cited by 14

Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program

Druce, J., Niehaus, J., Moody, V., Jensen, D., & Littman, M. L. (2021) · arXiv

Explainable Artificial Intelligence (XAI)AI-based Problem Solving and Planning

Cited by 8

Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages

Zuo, M., Velez, F. P., Li, X., Littman, M., & Bach, S. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 5