Stuart Russell

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[ Stuart Russell [1] Stuart J. Russell,

a British computer scientist, professor and chair of Computer Science, Lotfi A. Zadeh chair in Engineering, and Director, Center for Intelligent Systems, Computer Science Division, University of California, Berkeley, California. He received his B.A. with first-class honors in physics from Oxford University in 1982, and his Ph.D. in Computer Science from Stanford in 1986. He is also an adjunct professor of Neurological Surgery at UC San Francisco. He is a Fellow and former Executive Council member of the AAAI and a fellow of the ACM. His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, and computer vision [2] .

Selected Publications

Stuart Russell (1986). Preliminary Steps Toward the Automation of Induction. AAAI-86
Stuart Russell (1986). Quantitative Analysis of Analogy.. AAAI-86
Stuart Russell, Eric Wefald (1988). Decision-Theoretic Search Control: General Theory and an Application to Game-Playing. CS Technical Report 88/435, University of California, Berkeley
Stuart Russell, Eric Wefald (1988). Multi-Level Decision-Theoretic Search. AAAI Symposium on Computer Game-Playing, Stanford.
Stuart Russell, Eric Wefald (1989). On optimal game-tree search using rational metareasoning. IJCAI 1989
Eric Wefald, Stuart Russell (1989). Adaptive Learning of Decision-Theoretic Search Control Knowledge. 6th International Workshop on Machine Learning

Stuart Russell (1990, 2013). Fine-Grained Decision-Theoretic Search Control. arXiv:1304.1133
Stuart Russell, Eric Wefald (1991). Principles of Metareasoning. Artificial Intelligence, Vol. 49, Nos. 1-3
Stuart Russell, Eric Wefald (1991). Do the right thing: studies in limited rationality. MIT Press
Stuart Russell (1992). Efficient Memory-Bounded Search Methods. 10th European Conference on Artificial Intelligence, Vienna
Stuart Russell, Peter Norvig (1994). A Modern, Agent-Oriented Approach to AI Instruction. AAAI Fall Symposium on Innovative Instruction for Introductory AI, New Orleans
Stuart Russell (1996). Machine Learning. Chapter 4 of M. A. Boden (Ed.), Artificial Intelligence, Academic Press. Part of the Handbook of Perception and Cognition
Nir Friedman, Moises Goldszmidt, David Heckerman, Stuart Russell (1997). Where is the Impact of Bayesian Networks in Learning? IJCAI 1997
Ronald Parr, Stuart Russell (1997). Reinforcement Learning with Hierarchies of Machines. in Advances in Neural Information Processing Systems 10, MIT Press
Vassilis Papavassiliou, Stuart Russell (1999). Convergence of reinforcement learning with general function approximators. IJCAI-99

Andrew Y. Ng, Stuart Russell (2000). Algorithms for inverse reinforcement learning. 17th International Conference on Machine Learning, Stanford
Stuart Russell (2003). Rationality and Intelligence. in Renée Elio (ed.) Common sense, reasoning, and rationality. Oxford University Press, pdf
Judea Pearl, Stuart Russell (2003). Bayesian Networks. pdf
Stuart Russell, Peter Norvig (2003). Artificial Intelligence: A Modern Approach. 2nd edition
Bhaskara Marthi, David Latham, Carlos Guestrin, Stuart Russell (2005). Concurrent Hierarchical Reinforcement Learning. IJCAI 2005, pdf
Bhaskara Marthi, Stuart Russell, David Latham (2005). Writing Stratagus-Playing Agents in Concurrent ALisp. IJCAI-05, pdf
Stuart Russell, Jason Wolfe (2005). Efficient belief-state AND–OR search, with application to Kriegspiel. IJCAI 2005, pdf » KriegSpiel
Jason Wolfe, Stuart Russell (2007). Exploiting Belief State Structure in Graph Search. ICAPS 2007, pdf

Stuart Russell, Peter Norvig (2010). Artificial Intelligence: A Modern Approach. 3rd edition
Jason Wolfe, Stuart Russell (2011). Bounded Intention Planning. IJCAI 2011
Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony (2012). Selecting Computations: Theory and Applications. UAI 2012, arXiv:1408.2048
Stuart Russell (2014). Unifying Logic and Probability: A New Dawn for AI? IPMU 2014, pdf
Stuart Russell (2015). Unifying logic and probability. Communications of the ACM, Vol. 58, No. 7
David A. Moore, Stuart Russell (2015). Gaussian Process Random Fields. arXiv:1511.00054
Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel, Stuart Russell (2016). The Off-Switch Game. arXiv:1611.08219
Tongzhou Wan, Yi Wu, David A. Moore, Stuart Russell (2017). Neural Block Sampling. arXiv:1708.06040
Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart Russell, Anca Dragan (2017). Inverse Reward Design. arXiv:1711.02827
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca Dragan (2018). An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. arXiv:1806.03820