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