Chuanyu Yang

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All published works

Action	Title	Year	Authors
+ PDF Chat	A multi-modal garden dataset and hybrid 3D dense reconstruction framework based on panoramic stereo images for a trimming robot	2023	Can Pu Chuanyu Yang Jinnian Pu Radim Tyleček Robert B. Fisher
+	Identifying Important Sensory Feedback for Learning Locomotion Skills	2023	Wanming Yu Chuanyu Yang Christopher McGreavy Eleftherios Triantafyllidis Guillaume Bellegarda Milad Shafiee Auke Jan Ijspeert Zhibin Li
+ PDF Chat	Multi-expert learning of adaptive legged locomotion	2020	Chuanyu Yang Kai Yuan Qiuguo Zhu Wanming Yu Zhibin Li
+ PDF Chat	Learning Pregrasp Manipulation of Objects from Ungraspable Poses	2020	Zhaole Sun Kai Yuan Wenbin Hu Chuanyu Yang Zhibin Li
+	Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills	2020	Wenbin Hu Chuanyu Yang Kai Yuan Zhibin Li
+ PDF Chat	Learning Natural Locomotion Behaviors for Humanoid Robots Using Human Bias	2020	Chuanyu Yang Kai Yuan Shuai Heng Taku Komura Zhibin Li
+	Learning Pregrasp Manipulation of Objects from Ungraspable Poses	2020	Zhaole Sun Kai Yuan Wenbin Hu Chuanyu Yang Zhibin Li
+	Reaching, Grasping and Re-grasping: Learning Multimode Grasping Skills	2020	Wenbin Hu Chuanyu Yang Kai Yuan Zhibin Li
+ PDF Chat	Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge	2018	Doo Re Song Chuanyu Yang Christopher McGreavy Zhibin Li
+ PDF Chat	Learning Whole-Body Motor Skills for Humanoids	2018	Chuanyu Yang Kai Yuan Wolfgang Merkt Taku Komura Sethu Vijayakumar Zhibin Li
+ PDF Chat	Emergence of human-comparable balancing behaviours by deep reinforcement learning	2017	Chuanyu Yang Taku Komura Zhibin Li
+	Recurrent Network-based Deterministic Policy Gradient for Solving Bipedal Walking Challenge on Rugged Terrains	2017	Doo Re Song Chuanyu Yang Christopher McGreavy Zhibin Li

Common Coauthors

Coauthor	Papers Together
Zhibin Li	9
Kai Yuan	7
Wenbin Hu	4
Christopher McGreavy	3
Taku Komura	3
Doo Re Song	2
Zhaole Sun	2
Wanming Yu	2
Wolfgang Merkt	1
Can Pu	1
Qiuguo Zhu	1
Zhibin Li	1
Eleftherios Triantafyllidis	1
Auke Jan Ijspeert	1
Sethu Vijayakumar	1
Milad Shafiee	1
Shuai Heng	1
Jinnian Pu	1
Zhibin Li	1
Guillaume Bellegarda	1
Radim Tyleček	1
Robert B. Fisher	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	6
+	Concrete Problems in AI Safety	2016	Dario Amodei Chris Olah Jacob Steinhardt Paul F. Christiano John Schulman Dan Mané	4
+ PDF Chat	Learning locomotion skills using DeepRL: does the choice of action space matter?	2017	Xue Bin Peng Michiel van de Panne	4
+ PDF Chat	Learning Whole-Body Motor Skills for Humanoids	2018	Chuanyu Yang Kai Yuan Wolfgang Merkt Taku Komura Sethu Vijayakumar Zhibin Li	4
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	4
+ PDF Chat	Learning locomotion skills using DeepRL	2017	Xue Bin Peng Michiel van de Panne	4
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	4
+ PDF Chat	Learning dexterous in-hand manipulation	2019	OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafał Józefowicz Bob McGrew Jakub Pachocki Arthur J Petron Matthias Plappert Glenn Powell Alex Ray	3
+ PDF Chat	DeepMimic	2018	Xue Bin Peng Pieter Abbeel Sergey Levine Michiel van de Panne	3
+	Emergence of Locomotion Behaviours in Rich Environments	2017	Nicolas Heess Dhruva Tb Sriram Srinivasan Jay Lemmon Josh Merel Greg Wayne Yuval Tassa Tom Erez Ziyu Wang S. M. Ali Eslami	3
+	Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics	2017	Jeffrey Mahler Jacky Liang Sherdil Niyaz Michael Laskey Richard Doan Xinyu Liu Juan Pablo Aparicio Ken Goldberg	3
+ PDF Chat	Emergence of human-comparable balancing behaviours by deep reinforcement learning	2017	Chuanyu Yang Taku Komura Zhibin Li	3
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	3
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	3
+	High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel	3
+ PDF Chat	Deep learning for detecting robotic grasps	2015	Ian Lenz Honglak Lee Ashutosh Saxena	2
+	Learning agile and dynamic motor skills for legged robots	2019	Jemin Hwangbo Joonho Lee Alexey Dosovitskiy C. Dario Bellicoso Vassilios Tsounis Vladlen Koltun Marco Hutter	2
+	Learning Dexterous In-Hand Manipulation	2018	OpenAI	2
+ PDF Chat	Robotic grasp detection using deep convolutional neural networks	2017	Sulabh Kumra Christopher Kanan	2
+	Parameter Space Noise for Exploration	2017	Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz	2
+ PDF Chat	Robust Execution of Contact-Rich Motion Plans by Hybrid Force-Velocity Control	2019	Yifan Hou Matthew T. Mason	2
+	Trust Region Policy Optimization	2015	John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel	2
+ PDF Chat	Leveraging Contact Forces for Learning to Grasp	2019	Hamza Merzic Miroslav Bogdanović Daniel Kappler Ludovic Righetti Jeannette Bohg	2
+ PDF Chat	Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours	2016	Lerrel Pinto Abhinav Gupta	2
+	Deep Reinforcement Learning in Parameterized Action Space	2015	Matthew Hausknecht Peter Stone	2
+ PDF Chat	More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch	2018	Roberto Calandra Andrew Owens Dinesh Jayaraman Justin Lin Wenzhen Yuan Jitendra Malik Edward H. Adelson Sergey Levine	2
+ PDF Chat	Real-time grasp detection using convolutional neural networks	2015	Joseph Redmon Anelia Angelova	2
+	Randomized Physics-Based Motion Planning for Grasping in Cluttered and Uncertain Environments	2017	Muhayyuddin Gillani Mark Moll Lydia E. Kavraki Jan Rosell	2
+	Generative Adversarial Imitation Learning	2016	Jonathan Ho Stefano Ermon	2
+	Deep Reinforcement Learning in Parameterized Action Space	2015	Matthew Hausknecht Peter Stone	2
+ PDF Chat	Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning	2018	Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodríguez Thomas Funkhouser	2
+	Deep Recurrent Q-Learning for Partially Observable MDPs	2015	Matthew Hausknecht Peter Stone	2
+ PDF Chat	Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching	2018	Andy Zeng Shuran Song Kuan‐Ting Yu Elliott Donlon Francois R. Hogan Maria Bauzá Daolin Ma Orion Taylor Melody Liu Eudald Romo	2
+ PDF Chat	Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods	2018	Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine	2
+	Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach	2018	Douglas Morrison Jürgen Leitner Peter Corke	2
+ PDF Chat	Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations	2018	Francois R. Hogan Maria Bauzá Oleguer Canal Elliott Donlon Alberto Rodríguez	2
+ PDF Chat	Deep Reinforcement Learning with Double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver	1
+ PDF Chat	VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator	2018	Tong Qin Peiliang Li Shaojie Shen	1
+	Memory-based control with recurrent neural networks	2015	Nicolas Heess Jonathan J. Hunt Timothy Lillicrap David Silver	1
+	Learning human behaviors from motion capture by adversarial imitation	2017	Josh Merel Yuval Tassa Dhruva Tb Sriram Srinivasan Jay Lemmon Ziyu Wang Greg Wayne Nicolas Heess	1
+	Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization	2016	Chelsea Finn Sergey Levine Pieter Abbeel	1
+	Deep Recurrent Q-Learning for Partially Observable MDPs	2015	Matthew Hausknecht Peter Stone	1
+	Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	2015	Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio	1
+	Deep reinforcement learning from human preferences	2017	Paul F. Christiano Jan Leike T. B. Brown Miljan Martic Shane Legg Dario Amodei	1
+ PDF Chat	Robots that can adapt like animals	2015	Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret	1
+	Prioritizing Starting States for Reinforcement Learning.	2018	Arash Tavakoli Vitaly Levdik Riashat Islam Petar Kormushev	1
+	Hierarchical visuomotor control of humanoids	2018	Josh Merel Arun Ahuja Vu Pham Saran Tunyasuvunakool Siqi Liu Dhruva Tirumala Nicolas Heess Greg Wayne	1
+	Deep Reinforcement Learning: An Overview	2017	Yuxi Li	1
+ PDF Chat	Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing	2018	Anurag Ajay Jiajun Wu Nima Fazeli Maria Bauzá Leslie Pack Kaelbling Joshua B. Tenenbaum Alberto Rodríguez	1
+ PDF Chat	3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions	2017	Andy Zeng Shuran Song Matthias Nießner Matthew Fisher Jianxiong Xiao Thomas Funkhouser	1