Sam Toyer

According to our database, Sam Toyer authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deliberative Alignment: Reasoning Enables Safer Language Models.

Melody Y. Guan, Manas Joglekar, Eric Wallace, Saachi Jain, Boaz Barak, Alec Helyar, Rachel Dias, Andrea Vallone, Hongyu Ren, Jason Wei, Hyung Won Chung, Sam Toyer, Johannes Heidecke, Alex Beutel, Amelia Glaese

CoRR, 2024

Human Action Anticipation: A Survey.

Bolin Lai, Sam Toyer, Tushar Nagarajan, Rohit Girdhar, Shengxin Zha, James M. Rehg, Kris Kitani, Kristen Grauman, Ruta Desai, Miao Liu

CoRR, 2024

Exploring and Addressing Reward Confusion in Offline Preference Learning.

Xin Chen, Sam Toyer, Florian Shkurti

CoRR, 2024

A StrongREJECT for Empty Jailbreaks.

Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer

CoRR, 2024

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game.

Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

imitation: Clean Imitation Learning Implementations.

Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell

CoRR, 2022

An Empirical Investigation of Representation Learning for Imitation.

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

CoRR, 2022

A Primer on Maximum Causal Entropy Inverse Reinforcement Learning.

Adam Gleave, Sam Toyer

CoRR, 2022

2021

An Empirical Investigation of Representation Learning for Imitation.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

ASNets: Deep Learning for Generalised Planning.

Sam Toyer, Sylvie Thiébaux, Felipe W. Trevizan, Lexing Xie

J. Artif. Intell. Res., 2020

DERAIL: Diagnostic Environments for Reward And Imitation Learning.

Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell

CoRR, 2020

The MAGICAL Benchmark for Robust Imitation.

Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Guiding Search with Generalized Policies for Probabilistic Planning.

William Shen, Felipe W. Trevizan, Sam Toyer, Sylvie Thiébaux, Lexing Xie

Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.

Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Action Schema Networks: Generalised Policies With Deep Learning.

Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Human Pose Forecasting via Deep Markov Models.

Sam Toyer, Anoop Cherian, Tengda Han, Stephen Gould

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017