Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems (EECS-2024-45)
David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart J. Russell, Max Tegmark, Sanjit A. Seshia, Steve Omohundro, Christian Szegedy, Alessandro Abate, Joseph Halpern, Clark Barrett, Ding Zhao, Ben Goldhaber and Nora Ammann

Joint State and Parameter Estimation in Temporal Models (EECS-2018-28)
Yusuf Erol, Stuart J. Russell and Laurent El Ghaoui

Shaping Model-Free Reinforcement Learning with Model-Based Pseudorewards (EECS-2017-80)
Paul Krueger, Thomas Griffiths and Stuart J. Russell

Automated Pricing Agents in the On-Demand Economy (EECS-2016-57)
Tony Wu

Monte Carlo Methods for SLAM with Data Association Uncertainty (EECS-2015-191)
Constantin Berzan and Stuart J. Russell

SWIFT: Compiled Inference for Probabilistic Programs (EECS-2015-12)
Lei Li, Yi Wu and Stuart J. Russell

First-Order Open-Universe POMDPs: Formulation and Algorithms (EECS-2013-243)
Siddharth Srivastava, Xiang Cheng, Stuart J. Russell and Avi Pfeffer

The BLOG Language Reference (EECS-2013-51)
Lei Li and Stuart J. Russell

The Extended Parameter Filter (EECS-2013-48)
Yusuf Erol, Lei Li, Bharath Ramsundar and Stuart J. Russell

Metareasoning for Monte Carlo Tree Search (EECS-2011-119)
Nicholas Hay and Stuart J. Russell

Global seismic monitoring as probabilistic inference (EECS-2010-108)
Nimar S Arora, Stuart J. Russell, Paul Kidwell and Erik Sudderth

Gibbs sampling in open-universe stochastic languages (EECS-2010-34)
Nimar S Arora, Rodrigo de Salvo Braz, Erik Sudderth and Stuart J. Russell

Combined Task and Motion Planning for Mobile Manipulation (EECS-2010-27)
Jason Wolfe, Bhaskara Marthi and Stuart J. Russell

Angelic Hierarchical Planning: Optimal and Online Algorithms (Revised) (EECS-2009-122)
Bhaskara Marthi, Stuart J. Russell and Jason Wolfe

Angelic Hierarchical Planning: Optimal and Online Algorithms (EECS-2008-150)
Bhaskara Marthi, Stuart J. Russell and Jason Wolfe

Angelic Semantics for High-Level Actions (EECS-2007-89)
Bhaskara Marthi, Stuart J. Russell and Jason Wolfe

Improving Gradient Estimation by Incorporating Sensor Data (EECS-2006-58)
Gregory Donnell Lawrence and Stuart J. Russell

Markov chain Monte Carlo data association for multiple-target tracking (M05/19)
Songhwai Oh, Stuart J. Russell and S. Shankar Sastry

State Abstraction for Programmable Reinforcement Learning Agents (CSD-01-1156)
David Andre and Stuart J. Russell

Value Determination with General Function Approximators (CSD-98-1005)
Vassilis Papavassiliou and Stuart Russell

Compositional Modeling with DPNs (CSD-97-970)
Geoffrey Zweig and Stuart Russell

Adaptive Probabilistic Networks (CSD-94-824)
Stuart Russell, John Binder and Daphne Koller

Decision-Theoretic Control of Reasoning: General Theory and an Application to Game-Playing (CSD-88-435)
Stuart Russell and Eric Wefald