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Robotic Table Tennis: A Case Study into a High Speed Learning System
Jon Abelian
Saminda Abeyruwan
Michael Ahn
Justin Boyd
Erwin Johan Coumans
Omar Escareno
Wenbo Gao
Navdeep Jaitly
Juhana Kangaspunta
Satoshi Kataoka
Gus Kouretas
Yuheng Kuang
Corey Lynch
Thinh Nguyen
Ken Oslund
Barney J. Reed
Anish Shankar
Avi Singh
Grace Vesom
Peng Xu
Robotics: Science and Systems (2023)
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
Ale Escontrela
Jason Peng
Ken Goldberg
Pieter Abbeel
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (2022) (to appear)
Style-Augmented Mutual Information for Practical Skill Discovery
Ale Escontrela
Jason Peng
Ken Goldberg
Pieter Abbeel
Proceedings of NeurIPS (2022) (to appear)
Learning to walk on complex terrains with vision
Ale Escontrela
Erwin Johan Coumans
Peng Xu
Sehoon Ha
Conference on Robotic Learning (2021)
Reward Machines for Vision-Based Robotic Manipulation.
Alberto Camacho
Andy Zeng
Dmitry Kalashnikov
Jake Varley
International Conference on Robotics and Automation (2021)
Disentangled Planning and Control in Vision Based Robotics via Reward Machines
Alberto Camacho
Andy Zeng
Dmitry Kalashnikov
Jake Varley
Deep Reinforcement Learning Workshop (Deep RL), collocated with NeurIPS 2020 (2020)
Provably Robust Blackbox Optimization for Reinforcement Learning
Aldo Pacchiano
Jack Parker-Holder
Yunhao Tang
Yuxiang Yang
Conference on Robot Learning (CoRL 2019)
Policies Modulating Trajectory Generators
Erwin Coumans
2nd Annual Conference on Robot Learning, CoRL 2018, PMLR, pp. 916-926
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Erwin Coumans
Danijar Hafner
Steven Bohez
RSS (2018)
