Adrian Li

16 papers A* 3A 1Misc 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment.
CoRR
Catie Cuan, Kyle Jeffrey, Kim Kleiven, Adrian Li, Emre Fisher, Matt Harrison, Benjie Holson, Allison M. Okamura, Matthew Bennice
2023 — conf
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.
Robotics: Science and Systems
Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey T. Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine
2023 J jnl
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.
CoRR
Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeffrey T. Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine
2022 Misc conf
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale.
CoRL
Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu
2022 J jnl
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale.
CoRR
Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu
2020 — conf
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping.
Robotics: Science and Systems
Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
2019 A* conf
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping.
ICRA
Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor
2019 J jnl
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping.
CoRR
Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor
2019 J jnl
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping.
CoRR
Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
2017 A conf
Collective robot reinforcement learning with distributed asynchronous guided policy search.
IROS
Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine
2017 A* conf
Path integral guided policy search.
ICRA
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
2016 J jnl
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search.
CoRR
Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine
2016 J jnl
Path Integral Guided Policy Search.
CoRR
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
2015 J jnl
Recovering from failure by asking for help.
Auton. Robots
Ross A. Knepper, Stefanie Tellex, Adrian Li, Nicholas Roy, Daniela Rus
2014 — conf
Asking for Help Using Inverse Semantics.
Robotics: Science and Systems
Stefanie Tellex, Ross A. Knepper, Adrian Li, Daniela Rus, Nicholas Roy
2013 A* conf
Single assembly robot in search of human partner: versatile grounded language generation.
HRI
Ross A. Knepper, Stefanie Tellex, Adrian Li, Nicholas Roy, Daniela Rus