Scott Emmons

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Nash Equilibria

Partial Observability

Quality Metrics

Top Venues

IEEE Trans Autom. Sci. Eng.

Publications

Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. CoRR (2024)
Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer
A StrongREJECT for Empty Jailbreaks. CoRR (2024)
Pedro Freire, ChengCheng Tan, Adam Gleave, Dan Hendrycks, Scott Emmons
Uncovering Latent Human Wellbeing in Language Model Embeddings. CoRR (2024)
Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons
When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. CoRR (2024)
Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristóbal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez
When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? CoRR (2024)
Edmund Mills, Shiye Su, Stuart Russell, Scott Emmons
ALMANACS: A Simulatability Benchmark for Language Model Explainability. CoRR (2023)
Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark. ICML (2023)
Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, Dan Hendrycks
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark. CoRR (2023)
Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons
Image Hijacks: Adversarial Images can Control Generative Models at Runtime. CoRR (2023)
Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. CoRR (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
An Empirical Investigation of Representation Learning for Imitation. CoRR (2022)
Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. ICML (2022)
Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell
imitation: Clean Imitation Learning Implementations. CoRR (2022)
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine
RvS: What is Essential for Offline RL via Supervised Learning? ICLR (2022)
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine
RvS: What is Essential for Offline RL via Supervised Learning? CoRR (2021)
Cynthia Chen, 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
An Empirical Investigation of Representation Learning for Imitation. NeurIPS Datasets and Benchmarks (2021)
Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. NeurIPS (2020)
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. CoRR (2020)
Scott Emmons, Peter J. Mucha
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection. CoRR (2018)
Kris Hauser, Scott Emmons
Global Redundancy Resolution via Continuous Pseudoinversion of the Forward Kinematic Map. IEEE Trans Autom. Sci. Eng. 15 (3) (2018)
William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha
Post-Processing Partitions to Identify Domains of Modularity Optimization. Algorithms 10 (3) (2017)
William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha
Post-processing partitions to identify domains of modularity optimization. CoRR (2017)
Scott Emmons, Robert P. Light, Katy Börner
MOOC visual analytics: Empowering students, teachers, researchers, and platform developers of massively open online courses. J. Assoc. Inf. Sci. Technol. 68 (10) (2017)
Scott Emmons, Stephen G. Kobourov, Mike Gallant, Katy Börner
Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale. CoRR (2016)