Critch, Andrew

7 publications

ICML 2022 For Learning in Symmetric Teams, Local Optima Are Global Nash Equilibria Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell

ICLRW 2022 Graphical Clusterability and Local Specialization in Deep Neural Networks Stephen Casper, Shlomi Hod, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell

ICLR 2021 Aligning AI with Shared Human Values Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt

NeurIPS 2021 Optimal Policies Tend to Seek Power Alex Turner, Logan Smith, Rohin Shah, Andrew Critch, Prasad Tadepalli

NeurIPS 2020 Emergent Complexity and Zero-Shot Transfer via Unsupervised Environment Design Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart J. Russell, Andrew Critch, Sergey Levine

NeurIPS 2020 The MAGICAL Benchmark for Robust Imitation Sam Toyer, Rohin Shah, Andrew Critch, Stuart J. Russell

NeurIPS 2018 Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making Nishant Desai, Andrew Critch, Stuart Russell