Francisco Roldan Sanchez

14 papers Misc 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Dataset Clustering for Improved Offline Policy Learning. CoRR Qiang Wang, Yixin Deng, Francisco Roldan Sanchez, Keru Wang, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
2024	J	`jnl`	Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies. IEEE Robotics Autom. Lett. Qiang Wang, Robert McCarthy, David Cordova Bulens, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
2024	—	`conf`	Learning and Reusing Primitive Behaviours to Improve Hindsight Experience Replay Sample Efficiency. ICARA Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2023	J	`jnl`	Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. CoRR Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Stephen J. Redmond
2023	J	`jnl`	Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. Expert Syst. J. Knowl. Eng. Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
2023	—	`conf`	Hierarchical Reinforcement Learning for In-hand Robotic Manipulation Using Davenport Chained Rotations. ICARA Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2023	Misc	`conf`	Improving Behavioural Cloning with Positive Unlabeled Learning. CoRL Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond
2023	J	`jnl`	Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency. CoRR Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2022	J	`jnl`	Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks. CoRR Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
2022	J	`jnl`	Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations. CoRR Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
2022	—	`conf`	Towards advanced robotic manipulation. IRC Francisco Roldan Sanchez, Stephen J. Redmond, Kevin McGuinness, Noel E. O'Connor
2022	J	`jnl`	Towards advanced robotic manipulation. CoRR Francisco Roldan Sanchez, Stephen James Redmond, Kevin McGuinness, Noel E. O'Connor
2021	J	`jnl`	Real Robot Challenge using Deep Reinforcement Learning. CoRR Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
2021	—	`conf`	Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf