Real Robot Challenge using Deep Reinforcement Learning.

Robert McCarthy, Francisco Roldán Sánchez, Kevin McGuinness, Noel E. O’Connor, Stephen J. Redmond

Type: Article

Publication Date: 2021-09-30

Citations: 0

Similar Works

Action	Title	Year	Authors
+	Solving the Real Robot Challenge using Deep Reinforcement Learning	2021	Robert McCarthy Francisco Roldán Sánchez Qiang Wang David Córdova Bulens Kevin McGuinness Noel E. O’Connor Stephen J. Redmond
+	Solving the Real Robot Challenge using Deep Reinforcement Learning	2021	Robert McCarthy Francisco Roldán Sánchez Qiang Wang David Córdova Bulens Kevin McGuinness Noel E. O’Connor Stephen J. Redmond
+ PDF Chat	Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward‐based tasks	2022	Qiang Wang Francisco Roldán Sánchez Robert McCarthy David Córdova Bulens Kevin McGuinness Noel E. O’Connor Manuel Wüthrich Felix Widmaier Stefan Bauer Stephen J. Redmond
+	Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks	2022	Qiang Wang Francisco Roldán Sánchez Robert McCarthy David Córdova Bulens Kevin McGuinness Noel E. O’Connor Manuel Wüthrich Felix Widmaier Sebastian Bauer Stephen J. Redmond
+	Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World	2023	Nico Gürtler Felix Widmaier Cansu Sancaktar Sebastian Blaes Pavel Kolev Sebastian Bauer Manuel Wüthrich Markus Wulfmeier Martin Riedmiller Arthur Allshire
+	Real-World Dexterous Object Manipulation based Deep Reinforcement Learning	2021	Qingfeng Yao Jilong Wang Shuyu Yang
+	Data-efficient Deep Reinforcement Learning for Dexterous Manipulation	2017	Ivaylo Popov Nicolas Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller
+	Data-efficient Deep Reinforcement Learning for Dexterous Manipulation	2017	Ivaylo Popov Nicolas Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller
+	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	2018	Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman Emanuel Todorov Sergey Levine
+	Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers.	2020	Minjian Xin Guangming Wang Zhe Liu Hesheng Wang
+	Achieving Sample-Efficient Learning of Long-Horizon Sparse-Reward Robotic Tasks with Base Controllers	2020	Minjian Xin Guangming Wang Zhe Liu Hesheng Wang
+ PDF Chat	Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots	2024	Bahador Beigomi Zheng Zhu
+ PDF Chat	Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning	2019	Michel Breyer Fadri Furrer Tonči Novković Roland Siegwart Juan Nieto
+	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	2017	Aravind Rajeswaran Vikash Kumar Abhishek Gupta John Schulman Emanuel Todorov Sergey Levine
+	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	2017	Aravind Rajeswaran Vikas Kumar Abhishek Gupta Giulia Vezzani John Schulman Emanuel Todorov Sergey Levine
+	Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards	2017	Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot Nicolas Heess Thomas Rothörl Thomas Lampe Martin Riedmiller
+	Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers	2020	Guangming Wang Minjian Xin Wenhua Wu Zhe Liu Hesheng Wang
+	Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning	2018	Michel Breyer Fadri Furrer Tonči Novković Roland Siegwart Juan Nieto
+ PDF Chat	Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks	2020	Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Felix Li Rowan McAllister Joseph E. Gonzalez Sergey Levine Francesco Borrelli Ken Goldberg
+	Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks	2019	Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Felix Li Rowan McAllister Joseph E. Gonzalez Sergey Levine Francesco Borrelli Ken Goldberg

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (8)

Action	Title	Year	Authors
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra
+	Hindsight Experience Replay	2017	Marcin Andrychowicz Filip Wolski Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Josh Tobin Pieter Abbeel Wojciech Zaremba
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov
+	Residual Policy Learning	2018	Tom Silver Kelsey R. Allen Josh Tenenbaum Leslie Pack Kaelbling
+	Solving Rubik's Cube with a Robot Hand	2019	OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Mateusz Litwin Bob McGrew Arthur J Petron Alex Paino Matthias Plappert Glenn Powell
+	Dream to Control: Learning Behaviors by Latent Imagination.	2019	Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi
+	TriFinger: An Open-Source Robot for Learning Dexterity.	2020	Manuel Wüthrich Felix Widmaier Felix Grimminger Joel Akpo Shruti Joshi Vaibhav Agrawal Bilal Hammoud Majid Khadiv Miroslav Bogdanović Vincent Berenz
+	Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks.	2021	Robert McCarthy Stephen J. Redmond