Stuart Russell 0001 - researchr alias

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Viewing Publication 1 - 41 from 41

2025

2024

Image Hijacks: Adversarial Images can Control Generative Models at RuntimeLuke Bailey, Euan Ong, Stuart Russell 0001, Scott Emmons. icml 2024: [doi]

AI Alignment with Changing and Influenceable Reward FunctionsMicah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell 0001, Anca D. Dragan. icml 2024: [doi]

Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human FeedbackVincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert 0001, Milan Mossé, Eric Pacuit, Stuart Russell 0001, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker. icml 2024: [doi]

The Effective Horizon Explains Deep RL Performance in Stochastic EnvironmentsCassidy Laidlaw, Banghua Zhu, Stuart Russell 0001, Anca D. Dragan. iclr 2024: [doi]

Ethically Compliant Autonomous Systems under Partial ObservabilityQingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell 0001. icra 2024: 16229-16235 [doi]

Tensor Trust: Interpretable Prompt Injection Attacks from an Online GameSam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell 0001. iclr 2024: [doi]

Trajectory Improvement and Reward Learning from Comparative Language FeedbackZhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell 0001, Anca D. Dragan, Erdem Biyik. corl 2024: 5389-5404 [doi]

On Representation Complexity of Model-based and Model-free Reinforcement LearningHanlin Zhu, Baihe Huang, Stuart Russell 0001. iclr 2024: [doi]

2023

Active Reward Learning from Multiple TeachersPeter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell 0001. AAAI 2023: [doi]

Generative AI models should include detection mechanisms as a condition for public releaseAlistair Knott, Dino Pedreschi, Raja Chatila 0001, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David M. Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell 0001, Yoshua Bengio. ethicsit, 25(4):55, December 2023. [doi]

Who Needs to Know? Minimal Knowledge for Optimal CoordinationNiklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell 0001. icml 2023: 18599-18613 [doi]

SMCP3: Sequential Monte Carlo with Probabilistic Program ProposalsAlexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell 0001, Vikash K. Mansinghka. aistats 2023: 7061-7088 [doi]

Formal Composition of Robotic Systems as Contract ProgramsMason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell 0001. iros 2023: 6727-6732 [doi]

Optimal Conservative Offline RL with General Function Approximation via Augmented LagrangianParia Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell 0001, Jiantao Jiao. iclr 2023: [doi]

Invariance in Policy Optimisation and Partial Identifiability in Reward LearningJoar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell 0001, Alessandro Abate, Adam Gleave. icml 2023: 32033-32058 [doi]

Adversarial Policies Beat Superhuman Go AIsTony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell 0001. icml 2023: 35655-35739 [doi]

2022

Human-Compatible Artificial IntelligenceStuart Russell 0001. In Stephen H. Muggleton, Nicholas Chater, editors, Human-Like Machine Intelligence. pages 3-23, Oxford University Press, 2022. [doi]

Artificial Intelligence and the Problem of ControlStuart Russell 0001. In Behavioral Synthesis for Hardware Security. pages 19-24, 2022. [doi]

Estimating and Penalizing Induced Preference Shifts in Recommender SystemsMicah D. Carroll, Anca D. Dragan, Stuart Russell 0001, Dylan Hadfield-Menell. icml 2022: 2686-2708 [doi]

Social impact and governance of AI and neurotechnologiesKenji Doya, Arisa Ema, Hiroaki Kitano, Masamichi Sakagami, Stuart Russell 0001. NN, 152:542-554, 2022. [doi]

For Learning in Symmetric Teams, Local Optima are Global Nash EquilibriaScott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell 0001. icml 2022: 5924-5943 [doi]

Cross-Domain Imitation Learning via Optimal TransportArnaud Fickinger, Samuel Cohen, Stuart Russell 0001, Brandon Amos. iclr 2022: [doi]

Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement LearningSamer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell 0001, Shlomo Zilberstein. iros 2022: 11665-11670 [doi]

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of PessimismParia Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell 0001. TIT, 68(12):8156-8196, 2022. [doi]

2021

2018

Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference AlgorithmsYi Wu 0013, Siddharth Srivastava 0001, Nicholas Hay, Simon S. Du, Stuart Russell 0001. icml 2018: 5339-5348 [doi]

2016

Metaphysics of Planning Domain DescriptionsSiddharth Srivastava 0001, Stuart Russell 0001, Alessandro Pinto. AAAI 2016: 1074-1080 [doi]

Markovian State and Action Abstractions for MDPs via Hierarchical MCTSAijun Bai, Siddharth Srivastava 0001, Stuart Russell 0001. IJCAI 2016: 3029-3039 [doi]

2015

Metaphysics of Planning Domain DescriptionsSiddharth Srivastava 0001, Stuart Russell 0001, Alessandro Pinto. aaaifs 2015: 83-90 [doi]

Tractability of Planning with LoopsSiddharth Srivastava 0001, Shlomo Zilberstein, Abhishek Gupta 0004, Pieter Abbeel, Stuart Russell 0001. AAAI 2015: 3393-3401 [doi]

2014

First-Order Open-Universe POMDPsSiddharth Srivastava 0001, Stuart Russell 0001, Paul Ruan, Xiang Cheng 0006. uai 2014: 742-751 [doi]

2012

First-Order Models for POMDPsSiddharth Srivastava 0001, Stuart Russell 0001, Avi Pfeffer. starai 2010: [doi]

2009

Anytime Lifted Belief PropagationRodrigo de Salvo Braz, Sriraam Natarajan, Hung Bui 0001, Jude W. Shavlik, Stuart Russell 0001. mlg 2009: [doi]

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2024

2023

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2021

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2015

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2012

2009

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