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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

* Accepted to NeurIPS2021 Datasets and Benchmarks Track 

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A Primer on Maximum Causal Entropy Inverse Reinforcement Learning



Adam Gleave , Sam Toyer

* 29 pages 

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DERAIL: Diagnostic Environments for Reward And Imitation Learning



Pedro Freire , Adam Gleave , Sam Toyer , Stuart Russell


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The MAGICAL Benchmark for Robust Imitation



Sam Toyer , Rohin Shah , Andrew Critch , Stuart Russell

* NeurIPS 2020 conference paper (poster) 

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ASNets: Deep Learning for Generalised Planning



Sam Toyer , Felipe Trevizan , Sylvie Thiébaux , Lexing Xie

* Journal extension of arXiv:1709.04271 

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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


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Action Schema Networks: Generalised Policies with Deep Learning



Sam Toyer , Felipe Trevizan , Sylvie Thiébaux , Lexing Xie

* Accepted to AAAI 2018 

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Human Pose Forecasting via Deep Markov Models



Sam Toyer , Anoop Cherian , Tengda Han , Stephen Gould

* Accepted to DICTA'17 

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