Sam Toyer

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Imitation Learning

Top Venues

J. Artif. Intell. Res.

Publications

Xin Chen, Sam Toyer, Florian Shkurti
Exploring and Addressing Reward Confusion in Offline Preference Learning. CoRR (2024)
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
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. ICLR (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)
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
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR (2023)
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)
Adam Gleave, Sam Toyer
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning. CoRR (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)
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)
Sam Toyer, Sylvie Thiébaux, Felipe W. Trevizan, Lexing Xie
ASNets: Deep Learning for Generalised Planning. J. Artif. Intell. Res. 68 (2020)
Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
The MAGICAL Benchmark for Robust Imitation. CoRR (2020)
Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
The MAGICAL Benchmark for Robust Imitation. NeurIPS (2020)
Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell
DERAIL: Diagnostic Environments for Reward And Imitation Learning. CoRR (2020)
Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. ICLR (Poster) (2019)
William Shen, Felipe W. Trevizan, Sam Toyer, Sylvie Thiébaux, Lexing Xie
Guiding Search with Generalized Policies for Probabilistic Planning. SOCS (2019)
Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie
ASNets: Deep Learning for Generalised Planning. CoRR (2019)
Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie
Action Schema Networks: Generalised Policies With Deep Learning. AAAI (2018)
Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. CoRR (2018)
Sam Toyer, Anoop Cherian, Tengda Han, Stephen Gould
Human Pose Forecasting via Deep Markov Models. CoRR (2017)
Sam Toyer, Anoop Cherian, Tengda Han, Stephen Gould
Human Pose Forecasting via Deep Markov Models. DICTA (2017)
Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie
Action Schema Networks: Generalised Policies with Deep Learning. CoRR (2017)