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Stuart Russell

Cross-Domain Imitation Learning via Optimal Transport


Oct 14, 2021
Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos

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* typos corrected, references added 
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Detecting Modularity in Deep Neural Networks


Oct 13, 2021
Shlomi Hod, Stephen Casper, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell

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* Code is available at https://github.com/thestephencasper/detecting_nn_modularity 
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Scalable Online Planning via Reinforcement Learning Fine-Tuning


Sep 30, 2021
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown

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Explore and Control with Adversarial Surprise


Jul 12, 2021
Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine

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The MineRL BASALT Competition on Learning from Human Feedback


Jul 05, 2021
Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William Guss, Sharada Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca Dragan

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* NeurIPS 2021 Competition Track 
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Learning the Preferences of Uncertain Humans with Inverse Decision Theory


Jun 19, 2021
Cassidy Laidlaw, Stuart Russell

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MADE: Exploration via Maximizing Deviation from Explored Regions


Jun 18, 2021
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell

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* 28 pages, 10 figures 
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Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism


Mar 22, 2021
Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell

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* 84 pages, 6 figures 
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Clusterability in Neural Networks


Mar 04, 2021
Daniel Filan, Stephen Casper, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell

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* 20 pages, 22 figures. arXiv admin note: text overlap with arXiv:2003.04881 
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Accumulating Risk Capital Through Investing in Cooperation


Jan 25, 2021
Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell

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Multi-Principal Assistance Games: Definition and Collegial Mechanisms


Dec 29, 2020
Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell

* arXiv admin note: text overlap with arXiv:2007.09540 
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Understanding Learned Reward Functions


Dec 10, 2020
Eric J. Michaud, Adam Gleave, Stuart Russell

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* Presented at Deep RL Workshop, NeurIPS 2020 
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Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design


Dec 03, 2020
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart Russell, Andrew Critch, Sergey Levine

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DERAIL: Diagnostic Environments for Reward And Imitation Learning


Dec 02, 2020
Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell

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The MAGICAL Benchmark for Robust Imitation


Nov 01, 2020
Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell

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* NeurIPS 2020 conference paper (poster) 
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SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory


Oct 12, 2020
Paria Rashidinejad, Jiantao Jiao, Stuart Russell

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* 47 pages, 3 figures 
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Multi-Principal Assistance Games


Jul 19, 2020
Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell, Stuart Russell

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Quantifying Differences in Reward Functions


Jun 24, 2020
Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike

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* 8 pages main paper, 29 pages total 
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Neural Networks are Surprisingly Modular


Mar 11, 2020
Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell

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* 23 pages, 13 figures 
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Bayesian Relational Memory for Semantic Visual Navigation


Sep 10, 2019
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

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* Accepted at ICCV 2019 
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Adversarial Policies: Attacking Deep Reinforcement Learning


May 25, 2019
Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell

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* Under review at NeurIPS 2019 
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Inverse reinforcement learning for video games


Oct 24, 2018
Aaron Tucker, Adam Gleave, Stuart Russell

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* 10 pages, 4 figures. Submitted to NIPS Deep RL Workshop 
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Learning and Planning with a Semantic Model


Sep 28, 2018
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

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* submitted to ICLR 2019 
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Learning Plannable Representations with Causal InfoGAN


Jul 24, 2018
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel

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* ICML / IJCAI / AAMAS 2018 Workshop on Planning and Learning (PAL-18) 
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An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning


Jun 11, 2018
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan

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Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms


Jun 08, 2018
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon Du, Stuart Russell

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* Accepted by ICML 2018 
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Inverse Reward Design


Nov 08, 2017
Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart Russell, Anca Dragan

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* Advances in Neural Information Processing Systems 30 (NIPS 2017) 
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Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making


Oct 31, 2017
Andrew Critch, Stuart Russell

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* 10 pages. arXiv admin note: substantial text overlap with arXiv:1701.01302 
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The Off-Switch Game


Jun 16, 2017
Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel, Stuart Russell

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