Stuart Russell

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Decision Theory

Reward Function

Dynamical Systems

Top Venues

Publications

Jiahai Feng, Stuart Russell, Jacob Steinhardt
Monitoring Latent World States in Language Models with Propositional Probes. CoRR (2024)
Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell
Accumulating Risk Capital Through Investing in Cooperation. CoRR (2021)
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR (2021)
Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
Quantifying Differences in Reward Functions. ICLR (2021)
Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell
Accumulating Risk Capital Through Investing in Cooperation. AAMAS (2021)
Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine
Explore and Control with Adversarial Surprise. CoRR (2021)
Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca D. Dragan
The MineRL BASALT Competition on Learning from Human Feedback. CoRR (2021)
Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. CoRR (2021)
Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
Estimating and Penalizing Preference Shift in Recommender Systems. RecSys (2021)
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
Scalable Online Planning via Reinforcement Learning Fine-Tuning. CoRR (2021)
Cassidy Laidlaw, Stuart Russell
Learning the Preferences of Uncertain Humans with Inverse Decision Theory. CoRR (2021)
Shlomi Hod, Stephen Casper, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell
Detecting Modularity in Deep Neural Networks. CoRR (2021)
Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos
Cross-Domain Imitation Learning via Optimal Transport. CoRR (2021)
Daniel Filan, Stephen Casper, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
Clusterability in Neural Networks. CoRR (2021)
Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell
Multi-Principal Assistance Games: Definition and Collegial Mechanisms. CoRR (2020)
Paria Rashidinejad, Jiantao Jiao, Stuart Russell
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory. CoRR (2020)
Eric J. Michaud, Adam Gleave, Stuart Russell
Understanding Learned Reward Functions. CoRR (2020)
Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell
Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR (2020)
Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
The MAGICAL Benchmark for Robust Imitation. CoRR (2020)
Paria Rashidinejad, Jiantao Jiao, Stuart Russell
SLIP: Learning to predict in unknown dynamical systems with long-term memory. NeurIPS (2020)
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS (2020)
Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
Quantifying Differences in Reward Functions. CoRR (2020)
Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
The MAGICAL Benchmark for Robust Imitation. NeurIPS (2020)
Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
Neural Networks are Surprisingly Modular. CoRR (2020)
Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell
DERAIL: Diagnostic Environments for Reward And Imitation Learning. CoRR (2020)
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR (2020)
Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell
Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR (2019)
Aaron Tucker, Adam Gleave, Stuart Russell
Inverse reinforcement learning for video games. CoRR (2018)
Stuart Russell
Rationality and Intelligence: A Brief Update. PT-AI (2013)