Robotic Table Tennis with Model-Free Reinforcement Learning

Robotic Table Tennis with Model-Free Reinforcement Learning

31 March 2020

Pannag R Sanketi

Vikas Sindhwani

Papers citing "Robotic Table Tennis with Model-Free Reinforcement Learning"

19 / 19 papers shown

Title
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control Haoran Wang Zhiwei Shi Chengxi Zhu Yafei Qiao Cheng Zhang Fan Yang Pengjie Ren Lan Lu D. Xuan 113 1 0 24 Apr 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System David B. DÁmbrosio Jonathan Abelian Saminda Abeyruwan Michael Ahn Alex Bewley ... Vikas Sindhwani Avi Singh Vincent Vanhoucke Grace Vesom Peng Xu 120 15 0 20 Feb 2025
Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning Zixuan Wu Z. Zaidi Adithya Patil Qingyu Xiao Matthew C. Gombolay 99 1 0 29 Sep 2024
Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance Kin Man Lee Sean Ye Qingyu Xiao Zixuan Wu Z. Zaidi David B. DÁmbrosio Pannag R Sanketi Matthew Gombolay 114 3 0 23 Sep 2024
Achieving Human Level Competitive Robot Table Tennis David B. DÁmbrosio Saminda Abeyruwan L. Graesser Atil Iscen H. B. Amor ... Vikas Sindhwani Vincent Vanhoucke Grace Vesom P. Xu Pannag R Sanketi 116 15 0 07 Aug 2024
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 111 118 0 25 Sep 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks Stephen James Paul Wohlhart Mrinal Kalakrishnan Dmitry Kalashnikov A. Irpan Julian Ibarz Sergey Levine R. Hadsell Konstantinos Bousmalis 96 448 0 18 Dec 2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play R. Mahjourian Navdeep Jaitly N. Lazić Sergey Levine Risto Miikkulainen 61 16 0 30 Nov 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 116 1,467 0 27 Jun 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization K. Choromanski Mark Rowland Vikas Sindhwani Richard Turner Adrian Weller 71 149 0 06 Apr 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 60 315 0 19 Mar 2018
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm Chelsea Finn Sergey Levine SSL 93 223 0 31 Oct 2017
Domain Randomization and Generative Models for Robotic Grasping Joshua Tobin Lukas Biewald Rocky Duan Marcin Andrychowicz Ankur Handa ... Bob McGrew Jonas Schneider Peter Welinder Wojciech Zaremba Pieter Abbeel OOD 81 175 0 17 Oct 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 974 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 496 19,019 0 20 Jul 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 92 1,538 0 10 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 88 276 0 08 Mar 2017
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 204 2,511 0 16 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015

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