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For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria


Jul 07, 2022
Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell


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An Empirical Investigation of Representation Learning for Imitation


May 16, 2022
Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah

* Accepted to NeurIPS2021 Datasets and Benchmarks Track 

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Estimating and Penalizing Induced Preference Shifts in Recommender Systems


Apr 25, 2022
Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca Dragan


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Invariance in Policy Optimisation and Partial Identifiability in Reward Learning


Mar 14, 2022
Joar Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave

* 8 pages main paper, 24 pages total, 1 figure 

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Cross-Domain Imitation Learning via Optimal Transport


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

* 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

* 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

* NeurIPS 2021 Competition Track 

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