Russell, Stuart

Cooperative Inverse Reinforcement Learning

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2016) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 413

BLOG: Probabilistic Models with Unknown Objects

Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D. L., & Kolobov, A. (2007) · Introduction to Statistical Relational Learning

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 390

Managing extreme AI risks amid rapid progress

Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Darrell, T., Harari, Y. N., Zhang, Y.-Q., Xue, L., Shalev-Shwartz, S., et al. (2024) · Science

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Provably Bounded-Optimal Agents

Russell, S. J., & Subramanian, D. (1995) · Journal of Artificial Intelligence Research

AI-based Problem Solving and PlanningComputability, Logic, AI Algorithms

Cited by 252

Adversarial Policies: Attacking Deep Reinforcement Learning

Gleave, A., Dennis, M., Wild, C., Kant, N., Levine, S., & Russell, S. (2019) · arXiv

Adversarial Robustness in Machine LearningReinforcement Learning in Robotics

Cited by 200

Inverse Reward Design

Hadfield-Menell, D., Milli, S., Abbeel, P., Russell, S., & Dragan, A. (2017) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 125

The Off-Switch Game

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2016) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 119

The Off-Switch Game

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 119

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Dennis, M., Jaques, N., Vinitsky, E., Bayen, A., Russell, S., Critch, A., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 60

Estimating and Penalizing Preference Shift in Recommender Systems

Carroll, M., Hadfield-Menell, D., Russell, S., & Dragan, A. (2021) · Fifteenth ACM Conference on Recommender Systems

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 20

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game

Toyer, S., Watkins, O., Mendes, E. A., Svegliato, J., Bailey, L., Wang, T., Ong, I., Elmaaroufi, K., Abbeel, P., Darrell, T., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7

Understanding Learned Reward Functions

Michaud, E. J., Gleave, A., & Russell, S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Reinforcement Learning in Robotics

Cited by 7

Multi-Principal Assistance Games

Fickinger, A., Zhuang, S., Hadfield-Menell, D., & Russell, S. (2020) · arXiv

Game Theory and Voting SystemsAdvanced Bandit Algorithms Research

Cited by 5