Computer Science · Physical Sciences
5h-index173citations10works0.02yr avg
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Research Topics
Reinforcement Learning in Robotics(4), Generative Adversarial Networks and Image Synthesis(2), Domain Adaptation and Few-Shot Learning(2), Adversarial Robustness in Machine Learning(2), Multimodal Machine Learning Applications(2)
Publications10 total
arXiv (Cornell University)·2022· 1 citedOpen Access
arXiv (Cornell University)·2022· 3 citedOpen Access
Reward Identification in Inverse Reinforcement Learning
International Conference on Machine Learning·2021· 5 cited
Imitation with Neural Density Models
Neural Information Processing Systems·2021· 4 cited
arXiv (Cornell University)·2020Open Access
arXiv (Cornell University)·2020· 5 citedOpen Access
Active World Model Learning in Agent-rich Environments with Progress Curiosity
2020· 9 cited
arXiv (Cornell University)·2020· 129 citedOpen Access
arXiv (Cornell University)·2020· 5 citedOpen Access
arXiv (Cornell University)·2019· 12 citedOpen Access
Frequent Co-authors
Stefano Ermon(5), Julian De Freitas(4), Nick Haber(4), Megumi Sano(4), Daniel Yamins(4), Jiaming Song(4), Chuang Gan(2), J. Schwartz(2), Seth Alter(2), Martin Schrimpf(2), James Traer(2), Jonas Kubilius(2), Abhishek Bhandwaldar(2), Elias Wang(2), Damian Mrowca(2), Michael Lingelbach(2), Aidan Curtis(2), Kevin Feigelis(2), Daniel M. Bear(2), Dan Gutfreund(2)