Cody Wild

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Approximate Policy Iteration

Reinforcement Learning

Fitted Q Iteration

Top Venues

USENIX Security Symposium

IEEE Symposium on Security and Privacy Workshops

Publications

Cody Wild, Jesper Anderson
Uncovering Layer-Dependent Activation Sparsity Patterns in ReLU Transformers. CoRR (2024)
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)
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. CoRR (2022)
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. NeurIPS (Competition and Demos) (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)
Shlomi Hod, Stephen Casper, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell
Detecting Modularity in Deep Neural Networks. 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)
Daniel Filan, Stephen Casper, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
Clusterability in Neural Networks. CoRR (2021)
Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell
Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR (2020)
Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
Neural Networks are Surprisingly Modular. CoRR (2020)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium (2019)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR (2019)
Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell
Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR (2019)
Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. CoRR (2018)
Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. IEEE Symposium on Security and Privacy Workshops (2018)