Stuart J. Russell

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 46

Top Venues

Publications

Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
A Generalized Acquisition Function for Preference-based Reward Learning. CoRR (2024)
Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
A Generalized Acquisition Function for Preference-based Reward Learning. ICRA (2024)
Cassidy Laidlaw, Stuart J. Russell, Anca D. Dragan
Bridging RL Theory and Practice with the Effective Horizon. NeurIPS (2023)
Prasad Tadepalli, Stuart J. Russell
PAC Learning of Causal Trees with Latent Variables. AAAI (2021)
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown
Scalable Online Planning via Reinforcement Learning Fine-Tuning. NeurIPS (2021)
Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell, Stuart J. Russell
Multi-Principal Assistance Games. CoRR (2020)
David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Stuart J. Russell, Thomas L. Griffiths
Cognitive model priors for predicting human decisions. ICML (2019)
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart J. Russell, Georgia Gkioxari, Yuandong Tian
Bayesian Relational Memory for Semantic Visual Navigation. ICCV (2019)
Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev
Predicting human decisions with behavioral theories and machine learning. CoRR (2019)
Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart J. Russell
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. AAAI (2019)
David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell
Cognitive Model Priors for Predicting Human Decisions. CoRR (2019)
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart J. Russell, Georgia Gkioxari, Yuandong Tian
Bayesian Relational Memory for Semantic Visual Navigation. CoRR (2019)
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart J. Russell, Anca D. Dragan
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. CoRR (2018)
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart J. Russell, Georgia Gkioxari, Yuandong Tian
Learning and Planning with a Semantic Model. CoRR (2018)
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart J. Russell, Anca D. Dragan
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML (2018)
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel
Learning Plannable Representations with Causal InfoGAN. NeurIPS (2018)
Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell
Meta-Learning MCMC Proposals. NeurIPS (2018)
Nishant Desai, Andrew Critch, Stuart J. Russell
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making. NeurIPS (2018)
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel
Learning Plannable Representations with Causal InfoGAN. CoRR (2018)
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart J. Russell
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. ICML (2018)
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart J. Russell
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. CoRR (2018)
Yi Wu, David Bamman, Stuart J. Russell
Adversarial Training for Relation Extraction. EMNLP (2017)
Aijun Bai, Stuart J. Russell, Xiaoping Chen
Concurrent Hierarchical Reinforcement Learning for RoboCup Keepaway. RoboCup (2017)
Tongzhou Wang, Yi Wu, David A. Moore, Stuart J. Russell
Neural Block Sampling. CoRR (2017)
Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart J. Russell
The Off-Switch Game. IJCAI (2017)
Andrew Critch, Stuart J. Russell
Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making. CoRR (2017)
Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan
Inverse Reward Design. CoRR (2017)
David A. Moore, Stuart J. Russell
Signal-based Bayesian Seismic Monitoring. AISTATS (2017)
Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart J. Russell
A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. AAAI (2017)
Aijun Bai, Stuart J. Russell
Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions. IJCAI (2017)
Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart J. Russell
Should Robots be Obedient? CoRR (2017)
Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart J. Russell
The Off-Switch Game. AAAI Workshops (2017)
David A. Moore, Stuart J. Russell
Signal-based Bayesian Seismic Monitoring. CoRR (2017)
Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan
Inverse Reward Design. NIPS (2017)
Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart J. Russell
Should Robots be Obedient? IJCAI (2017)
Aijun Bai, Siddharth Srivastava, Stuart J. Russell
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. IJCAI (2016)
Stuart J. Russell, Ole Torp Lassen, Justin Uang, Wei Wang
The Physics of Text: Ontological Realism in Information Extraction. AKBC@NAACL-HLT (2016)
Yi Wu, Lei Li, Stuart J. Russell, Rastislav Bodík
Swift: Compiled Inference for Probabilistic Programming Languages. IJCAI (2016)
Stuart J. Russell, Daniel Dewey, Max Tegmark
Research Priorities for Robust and Beneficial Artificial Intelligence. CoRR (2016)
Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart J. Russell
Towards Practical Bayesian Parameter and State Estimation. CoRR (2016)
Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart J. Russell, Pieter Abbeel
Sequential quadratic programming for task plan optimization. IROS (2016)
Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart J. Russell
Cooperative Inverse Reinforcement Learning. CoRR (2016)
Yi Wu, Lei Li, Stuart J. Russell, Rastislav Bodík
Swift: Compiled Inference for Probabilistic Programming Languages. CoRR (2016)
Dylan Hadfield-Menell, Stuart J. Russell, Pieter Abbeel, Anca D. Dragan
Cooperative Inverse Reinforcement Learning. NIPS (2016)
Siddharth Srivastava, Stuart J. Russell, Alessandro Pinto
Metaphysics of Planning Domain Descriptions. AAAI (2016)
Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart J. Russell
The Off-Switch Game. CoRR (2016)
Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart J. Russell
Tractability of Planning with Loops. AAAI (2015)
Stuart J. Russell, Tom Dietterich, Eric Horvitz, Bart Selman, Francesca Rossi, Demis Hassabis, Shane Legg, Mustafa Suleyman, Dileep George, D. Scott Phoenix
Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter. AI Mag. 36 (4) (2015)
Siddharth Srivastava, Stuart J. Russell, Alessandro Pinto
Metaphysics of Planning Domain Descriptions. AAAI Fall Symposia (2015)
Stuart J. Russell, Daniel Dewey, Max Tegmark
Research Priorities for Robust and Beneficial Artificial Intelligence. AI Mag. 36 (4) (2015)
David A. Moore, Stuart J. Russell
Gaussian Process Random Fields. CoRR (2015)
Dylan Hadfield-Menell, Stuart J. Russell
Multitasking: Optimal Planning for Bandit Superprocesses. UAI (2015)
Eric Eaton, Tom Dietterich, Maria L. Gini, Barbara J. Grosz, Charles L. Isbell Jr., Subbarao Kambhampati, Michael L. Littman, Francesca Rossi, Stuart J. Russell, Peter Stone, Toby Walsh, Michael J. Wooldridge
Who speaks for AI? AI Matters 2 (2) (2015)
Wei Wang, Stuart J. Russell
A Smart-Dumb/Dumb-Smart Algorithm for Efficient Split-Merge MCMC. UAI (2015)
Stuart J. Russell
Unifying logic and probability. Commun. ACM 58 (7) (2015)
David A. Moore, Stuart J. Russell
Gaussian Process Random Fields. NIPS (2015)
Hugh Chen, Yusuf Erol, Eric Shen, Stuart J. Russell
Probabilistic Model-Based Approach for Heart Beat Detection. CoRR (2015)
Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart J. Russell, Pieter Abbeel
Combined task and motion planning through an extensible planner-independent interface layer. ICRA (2014)
Siddharth Srivastava, Stuart J. Russell, Paul Ruan, Xiang Cheng
First-Order Open-Universe POMDPs. UAI (2014)
Stuart J. Russell
Unifying Logic and Probability: A New Dawn for AI? IPMU (1) (2014)
David A. Moore, Stuart J. Russell
Fast Gaussian Process Posteriors with Product Trees. UAI (2014)
Nicholas Hay, Stuart J. Russell, David Tolpin, Solomon Eyal Shimony
Selecting Computations: Theory and Applications. CoRR (2014)
Falk Lieder, Dillon Plunkett, Jessica B. Hamrick, Stuart J. Russell, Nicholas Hay, Thomas L. Griffiths
Algorithm selection by rational metareasoning as a model of human strategy selection. NIPS (2014)
Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart J. Russell
The Extended Parameter Filter CoRR (2013)
Nir Friedman, Stuart J. Russell
Image Segmentation in Video Sequences: A Probabilistic Approach CoRR (2013)
Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Michael I. Jordan, Stuart J. Russell
Variational MCMC CoRR (2013)
Keiji Kanazawa, Daphne Koller, Stuart J. Russell
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks CoRR (2013)
Stuart J. Russell
Fine-Grained Decision-Theoretic Search Control CoRR (2013)
Sharad Vikram, Lei Li, Stuart J. Russell
Writing and sketching in the air, recognizing and controlling on the fly. CHI Extended Abstracts (2013)
Bhaskara Marthi, Hanna Pasula, Stuart J. Russell, Yuval Peres
Decayed MCMC Filtering CoRR (2013)
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
Learning the Structure of Dynamic Probabilistic Networks CoRR (2013)
Sampath Srinivas, Stuart J. Russell, Alice M. Agogino
Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information CoRR (2013)
Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart J. Russell
The Extended Parameter Filter. ICML (3) (2013)
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks CoRR (2013)
Lei Li, Bharath Ramsundar, Stuart J. Russell
Dynamic Scaled Sampling for Deterministic Constraints. AISTATS (2013)
Mark Rogers, Lei Li, Stuart J. Russell
Multilinear Dynamical Systems for Tensor Time Series. NIPS (2013)
David A. Moore, Stuart J. Russell
Product Trees for Gaussian Process Covariance in Sublinear Time. UAI Application Workshops (2013)
Eric P. Xing, Michael I. Jordan, Stuart J. Russell
A Generalized Mean Field Algorithm for Variational Inference in Exponential Families CoRR (2012)
Gregory Lawrence, Noah J. Cowan, Stuart J. Russell
Efficient Gradient Estimation for Motor Control Learning CoRR (2012)
Brian Milch, Stuart J. Russell
General-Purpose MCMC Inference over Relational Structures. CoRR (2012)
Eric P. Xing, Michael I. Jordan, Stuart J. Russell
Graph partition strategies for generalized mean field inference CoRR (2012)
Shaunak Chatterjee, Stuart J. Russell
Uncertain Observation Times. SUM (2012)
Gregory Lawrence, Stuart J. Russell
Improving Gradient Estimation by Incorporating Sensor Data CoRR (2012)
Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart J. Russell
Gibbs Sampling in Open-Universe Stochastic Languages CoRR (2012)
Emma Brunskill, Stuart J. Russell
RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains CoRR (2012)
Nicholas Hay, Stuart J. Russell, David Tolpin, Solomon Eyal Shimony
Selecting Computations: Theory and Applications CoRR (2012)
Nicholas Hay, Stuart J. Russell, David Tolpin, Solomon Eyal Shimony
Selecting Computations: Theory and Applications. UAI (2012)
Shaunak Chatterjee, Stuart J. Russell
A temporally abstracted Viterbi algorithm CoRR (2012)
Bhaskara Marthi, Stuart J. Russell, David Andre
A compact, hierarchical Q-function decomposition. CoRR (2012)
Nimar S. Arora, Stuart J. Russell, Paul Kidwell, Erik B. Sudderth
Global Seismic Monitoring: A Bayesian Approach. AAAI (2011)
Emma Brunskill, Stuart J. Russell
Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System. EDM (2011)
Jason Andrew Wolfe, Stuart J. Russell
Bounded Intention Planning. IJCAI (2011)
Shaunak Chatterjee, Stuart J. Russell
A temporally abstracted Viterbi algorithm. UAI (2011)
Emma Brunskill, Stuart J. Russell
RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains. UAI (2010)
Jason Andrew Wolfe, Bhaskara Marthi, Stuart J. Russell
Combined Task and Motion Planning for Mobile Manipulation. ICAPS (2010)
David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart J. Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31 (4) (2010)
Jason Andrew Wolfe, Bhaskara Marthi, Stuart J. Russell
Hierarchical Planning for Mobile Manipulation. Bridging the Gap Between Task and Motion Planning (2010)
Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart J. Russell
Gibbs Sampling in Open-Universe Stochastic Languages. UAI (2010)
Nimar S. Arora, Stuart J. Russell, Erik B. Sudderth
Automatic Inference in BLOG. Statistical Relational Artificial Intelligence (2010)
Catherine G. Enright, Michael G. Madden, Stuart J. Russell, Norm Aleks, Geoffrey T. Manley, John G. Laffey, Brian Harte, Anne Mulvey, Niall Madden
Modelling Glycaemia in ICU Patients - A Dynamic Bayesian Network Approach. BIOSIGNALS (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stuart J. Russell