Sandy H. Huang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Reinforcement Learning

Computational Models

Top Venues

Publications

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
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. CoRR (2024)
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
Replay across Experiments: A Natural Extension of Off-Policy RL. ICLR (2024)
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
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA (2024)
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
Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics 9 (89) (2024)
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
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR (2023)
Joe Watson, Sandy H. Huang, Nicolas Heess
Coherent Soft Imitation Learning. NeurIPS (2023)
Joe Watson, Sandy H. Huang, Nicolas Heess
Coherent Soft Imitation Learning. CoRR (2023)
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
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR (2023)
Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier
Replay across Experiments: A Natural Extension of Off-Policy RL. CoRR (2023)
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
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR (2022)
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
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR (2022)
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
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning. CoRR (2021)
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
A Constrained Multi-Objective Reinforcement Learning Framework. CoRL (2021)
Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
A Distributional View on Multi-Objective Policy Optimization. CoRR (2020)
Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
A distributional view on multi-objective policy optimization. ICML (2020)
Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny
Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR (2020)
Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. CoRR (2019)
Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
Human-AI Learning Performance in Multi-Armed Bandits. AIES (2019)
Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan
Nonverbal Robot Feedback for Human Teachers. CoRL (2019)
Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
Enabling robots to communicate their objectives. Auton. Robots 43 (2) (2019)
Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan
Nonverbal Robot Feedback for Human Teachers. CoRR (2019)
Minae Kwon, Sandy H. Huang, Anca D. Dragan
Expressing Robot Incapability. CoRR (2018)
Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan
Establishing Appropriate Trust via Critical States. CoRR (2018)
Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan
Establishing Appropriate Trust via Critical States. IROS (2018)
Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
Human-AI Learning Performance in Multi-Armed Bandits. CoRR (2018)
Minae Kwon, Sandy H. Huang, Anca D. Dragan
Expressing Robot Incapability. HRI (2018)
Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
Enabling Robots to Communicate Their Objectives. Robotics: Science and Systems (2017)
Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
Enabling Robots to Communicate their Objectives. CoRR (2017)
Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
Adversarial Attacks on Neural Network Policies. ICLR (Workshop) (2017)
Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel
Adversarial Attacks on Neural Network Policies. CoRR (2017)
Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel
Beyond lowest-warping cost action selection in trajectory transfer. ICRA (2015)
Sandy H. Huang, Jia Pan, George Mulcaire, Pieter Abbeel
Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects. IROS (2015)
Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel
Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects. IROS (2014)