Search Results - "Tan, Clayton"

Scaling Robot Learning with Semantically Imagined Experience by Yu, Tianhe, Xiao, Ted, Stone, Austin, Tompson, Jonathan, Brohan, Anthony, Wang, Su, Singh, Jaspiar, Tan, Clayton, M, Dee, Peralta, Jodilyn, Ichter, Brian, Hausman, Karol, Xia, Fei

“…Recent advances in robot learning have shown promise in enabling robots to perform a variety of manipulation tasks and generalize to novel scenarios. One of…”
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Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions by Chebotar, Yevgen, Vuong, Quan, Irpan, Alex, Hausman, Karol, Xia, Fei, Lu, Yao, Kumar, Aviral, Yu, Tianhe, Herzog, Alexander, Pertsch, Karl, Gopalakrishnan, Keerthana, Ibarz, Julian, Nachum, Ofir, Sontakke, Sumedh, Salazar, Grecia, Tran, Huong T, Peralta, Jodilyn, Tan, Clayton, Manjunath, Deeksha, Singht, Jaspiar, Zitkovich, Brianna, Jackson, Tomas, Rao, Kanishka, Finn, Chelsea, Levine, Sergey

“…In this work, we present a scalable reinforcement learning method for training multi-task policies from large offline datasets that can leverage both human…”
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RT-1: Robotics Transformer for Real-World Control at Scale by Brohan, Anthony, Brown, Noah, Carbajal, Justice, Chebotar, Yevgen, Dabis, Joseph, Finn, Chelsea, Gopalakrishnan, Keerthana, Hausman, Karol, Herzog, Alex, Hsu, Jasmine, Ibarz, Julian, Ichter, Brian, Irpan, Alex, Jackson, Tomas, Jesmonth, Sally, Joshi, Nikhil J, Julian, Ryan, Kalashnikov, Dmitry, Kuang, Yuheng, Leal, Isabel, Lee, Kuang-Huei, Levine, Sergey, Lu, Yao, Malla, Utsav, Manjunath, Deeksha, Mordatch, Igor, Nachum, Ofir, Parada, Carolina, Peralta, Jodilyn, Perez, Emily, Pertsch, Karl, Quiambao, Jornell, Rao, Kanishka, Ryoo, Michael, Salazar, Grecia, Sanketi, Pannag, Sayed, Kevin, Singh, Jaspiar, Sontakke, Sumedh, Stone, Austin, Tan, Clayton, Tran, Huong, Vanhoucke, Vincent, Vega, Steve, Vuong, Quan, Xia, Fei, Xiao, Ted, Xu, Peng, Xu, Sichun, Yu, Tianhe, Zitkovich, Brianna

“…By transferring knowledge from large, diverse, task-agnostic datasets, modern machine learning models can solve specific downstream tasks either zero-shot or…”
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances by Ahn, Michael, Brohan, Anthony, Brown, Noah, Chebotar, Yevgen, Cortes, Omar, David, Byron, Finn, Chelsea, Fu, Chuyuan, Gopalakrishnan, Keerthana, Hausman, Karol, Herzog, Alex, Ho, Daniel, Hsu, Jasmine, Ibarz, Julian, Ichter, Brian, Irpan, Alex, Jang, Eric, Ruano, Rosario Jauregui, Jeffrey, Kyle, Jesmonth, Sally, Joshi, Nikhil J, Julian, Ryan, Kalashnikov, Dmitry, Kuang, Yuheng, Lee, Kuang-Huei, Levine, Sergey, Lu, Yao, Luu, Linda, Parada, Carolina, Pastor, Peter, Quiambao, Jornell, Rao, Kanishka, Rettinghouse, Jarek, Reyes, Diego, Sermanet, Pierre, Sievers, Nicolas, Tan, Clayton, Toshev, Alexander, Vanhoucke, Vincent, Xia, Fei, Xiao, Ted, Xu, Peng, Xu, Sichun, Yan, Mengyuan, Zeng, Andy

“…Large language models can encode a wealth of semantic knowledge about the world. Such knowledge could be extremely useful to robots aiming to act upon…”
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