Sandy H. Huang

39 papers A* 7A 3C 1Misc 3Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploiting Policy Idling for Dexterous Manipulation. CoRR Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy H. Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao
2025	J	`jnl`	Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping. CoRR Jonas Buchli, Brendan D. Tracey, Tomislav Andric, Christopher Wipf, Yu Him Justin Chiu, Matthias Lochbrunner, Craig Donner, Rana X. Adhikari, Jan Harms, Iain Barr, Roland Hafner, Andrea Huber, Abbas Abdolmaleki, Charlie Beattie, Joseph Betzwieser, Serkan Cabi, Jonas Degrave, Yuzhu Dong, Leslie Fritz, Anchal Gupta, Oliver Groth, Sandy H. Huang, Tamara Norman, Hannah Openshaw, Jameson Rollins, Greg Thornton, George Van Den Driessche, Markus Wulfmeier, Pushmeet Kohli, Martin A. Riedmiller, LIGO Instrument Team
2025	J	`jnl`	Proc4Gem: Foundation models for physical agency through procedural generation. CoRR Yixin Lin, Jan Humplik, Sandy H. Huang, Leonard Hasenclever, Francesco Romano, Stefano Saliceti, Daniel Zheng, José Enrique Chen, Catarina Barros, Adrian Collister, Matt Young, Adil Dostmohamed, Ben Moran, Ken Caluwaerts, Marissa Giustina, Joss Moore, Kieran Connell, Francesco Nori, Nicolas Heess, Steven Bohez, Arunkumar Byravan
2024	A*	`conf`	Imitating Language via Scalable Inverse Reinforcement Learning. NeurIPS Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	J	`jnl`	Imitating Language via Scalable Inverse Reinforcement Learning. CoRR Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	Misc	`conf`	Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. CoRL Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess
2024	J	`jnl`	Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. CoRR Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess
2024	J	`jnl`	Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2024	A*	`conf`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2024	A*	`conf`	Replay across Experiments: A Natural Extension of Off-Policy RL. ICLR Dhruva Tirumala, Thomas Lampe, José Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier
2023	A*	`conf`	Coherent Soft Imitation Learning. NeurIPS Joe Watson, Sandy H. Huang, Nicolas Heess
2023	J	`jnl`	Coherent Soft Imitation Learning. CoRR Joe Watson, Sandy H. Huang, Nicolas Heess
2023	J	`jnl`	Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2023	J	`jnl`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2023	J	`jnl`	Replay across Experiments: A Natural Extension of Off-Policy RL. CoRR Dhruva Tirumala, Thomas Lampe, José Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier
2022	—	`conf`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik
2022	J	`jnl`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik
2021	Misc	`conf`	A Constrained Multi-Objective Reinforcement Learning Framework. CoRL Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell
2021	J	`jnl`	On Multi-objective Policy Optimization as a Tool for Reinforcement Learning. CoRR Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	A Distributional View on Multi-Objective Policy Optimization. CoRR Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
2020	A*	`conf`	A distributional view on multi-objective policy optimization. ICML Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
2020	J	`jnl`	Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny
2019	J	`jnl`	Enabling robots to communicate their objectives. Auton. Robots Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2019	C	`conf`	Human-AI Learning Performance in Multi-Armed Bandits. AIES Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
2019	J	`jnl`	Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. CoRR Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell
2019	Misc	`conf`	Nonverbal Robot Feedback for Human Teachers. CoRL Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan
2019	J	`jnl`	Nonverbal Robot Feedback for Human Teachers. CoRR Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan
2018	A	`conf`	Establishing Appropriate Trust via Critical States. IROS Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan
2018	J	`jnl`	Establishing Appropriate Trust via Critical States. CoRR Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan
2018	A*	`conf`	Expressing Robot Incapability. HRI Minae Kwon, Sandy H. Huang, Anca D. Dragan
2018	J	`jnl`	Expressing Robot Incapability. CoRR Minae Kwon, Sandy H. Huang, Anca D. Dragan
2018	J	`jnl`	Human-AI Learning Performance in Multi-Armed Bandits. CoRR Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
2017	—	`conf`	Adversarial Attacks on Neural Network Policies. ICLR (Workshop) Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
2017	J	`jnl`	Adversarial Attacks on Neural Network Policies. CoRR Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
2017	—	`conf`	Enabling Robots to Communicate Their Objectives. Robotics: Science and Systems Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2017	J	`jnl`	Enabling Robots to Communicate their Objectives. CoRR Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2015	A*	`conf`	Beyond lowest-warping cost action selection in trajectory transfer. ICRA Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel
2015	A	`conf`	Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects. IROS Sandy H. Huang, Jia Pan, George Mulcaire, Pieter Abbeel
2014	A	`conf`	Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects. IROS Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel