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Learning to Walk via Deep Reinforcement Learning

26 December 2018

Jie Tan

Papers citing "Learning to Walk via Deep Reinforcement Learning"

50 / 234 papers shown

Title
Adaptation of Quadruped Robot Locomotion with Meta-Learning A. Kuzhamuratov Dmitry Sorokin Alexander Ulanov A. Lvovsky 93 0 0 08 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 226 6 0 07 Jul 2021
Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning Taehei Kim Sung-Hee Lee 134 4 0 07 Jul 2021
A Max-Min Entropy Framework for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021 Seungyul Han Y. Sung 197 31 0 19 Jun 2021
Cat-like Jumping and Landing of Legged Robots in Low-gravity Using Deep Reinforcement LearningIEEE Transactions on robotics (TRO), 2021 Nikita Rudin H. Kolvenbach Vassilios Tsounis Marco Hutter 140 107 0 17 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Zafeirios Fountas Karl J. Friston 284 24 0 08 Jun 2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment Tianze Zhou Fubiao Zhang Youssef Attia El Hili Kai Li Wenhan Huang ... Hangyu Mao Bin Wang Dong Li Wulong Liu Jianye Hao 173 22 0 01 Jun 2021
Safe Value FunctionsIEEE Transactions on Automatic Control (IEEE TAC), 2021 P. Massiani Steve Heim Friedrich Solowjow Sebastian Trimpe 256 17 0 25 May 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object ManipulationIEEE Robotics and Automation Letters (RA-L), 2021 Niklas Funk Charles B. Schaff Rishabh Madan Takuma Yoneda Julen Urain De Jesus ... Stefan Bauer S. Srinivasa Tapomayukh Bhattacharjee Matthew R. Walter Jan Peters 208 39 0 05 May 2021
Self-Improving Semantic Perception for Indoor LocalisationConference on Robot Learning (CoRL), 2021 Hermann Blum Francesco Milano René Zurbrugg Roland Siegward Cesar Cadena Abel Gawel 159 9 0 04 May 2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning Alessandro Paolo Capasso Paolo Maramotti Anthony DellÉva A. Broggi 241 20 0 28 Apr 2021
Adaptive Variants of Optimal Feedback PoliciesConference on Learning for Dynamics & Control (L4DC), 2021 B. Lopez Jean-Jacques E. Slotine OffRL 190 4 0 06 Apr 2021
SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images Tamir Blum Gabin Paillet Watcharawut Masawat Mickaël Laîné Kazuya Yoshida 46 1 0 26 Mar 2021
Imitation Learning from MPC for Quadrupedal Multi-Gait ControlIEEE International Conference on Robotics and Automation (ICRA), 2021 Alexander Reske Jan Carius Yuntao Ma Farbod Farshidian Marco Hutter 170 42 0 26 Mar 2021
RL-Controller: a reinforcement learning framework for active structural control S. S. Eshkevari Soheil Sadeghi Eshkevari Debarshi Sen S. Pakzad AI4CE 78 3 0 13 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL ProblemsInternational Conference on Learning Representations (ICLR), 2021 Benjamin Eysenbach Sergey Levine OOD 205 216 0 10 Mar 2021
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme Konstantin Avrachenkov Vivek Borkar H. Dolhare K. Patil 141 9 0 10 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous RacingIEEE International Conference on Robotics and Automation (ICRA), 2021 Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 190 46 0 08 Mar 2021
Addressing Action Oscillations through Learning Policy InertiaAAAI Conference on Artificial Intelligence (AAAI), 2021 Chong Chen Hongyao Tang Jianye Hao Wulong Liu Zhaopeng Meng 104 22 0 03 Mar 2021
SCAPE: Learning Stiffness Control from Augmented Position Control ExperiencesConference on Robot Learning (CoRL), 2021 Mincheol Kim S. Niekum A. Deshpande 183 8 0 16 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place SubtasksInternational Conference on Advanced Robotics (ICAR), 2021 Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 241 34 0 08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 261 611 0 04 Feb 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 198 1 0 19 Jan 2021
Regularized Policies are Reward RobustInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Hisham Husain K. Ciosek Ryota Tomioka 180 28 0 18 Jan 2021
RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal ControlIEEE Transactions on robotics (IEEE Trans. Robot.), 2020 Siddhant Gangapurwala Mathieu Geisert Romeo Orsolino Maurice F. Fallon Ioannis Havoutis 455 141 0 05 Dec 2020
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment Arturo Cruz-Maya 218 4 0 02 Dec 2020
Learning from Simulation, Racing in RealityIEEE International Conference on Robotics and Automation (ICRA), 2020 Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 175 29 0 26 Nov 2020
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation AgentsIEEE Robotics and Automation Letters (RA-L), 2020 Joanne Truong Sonia Chernova Dhruv Batra 248 62 0 24 Nov 2020
Stability Analysis of Complementarity Systems with Neural Network ControllersInternational Conference on Hybrid Systems: Computation and Control (HSCC), 2020 Alp Aydinoglu Mahyar Fazlyab M. Morari Michael Posa 116 9 0 15 Nov 2020
Learning Agile Locomotion Skills with a Mentor Atil Iscen George Yu Alejandro Escontrela Deepali Jain Jie Tan Ken Caluwaerts 139 17 0 11 Nov 2020
Zero-Shot Terrain Generalization for Visual Locomotion Policies Alejandro Escontrela George Yu P. Xu Atil Iscen Jie Tan 132 19 0 11 Nov 2020
Learning Human Search Behavior from Egocentric Visual Inputs Maks Sorokin Wenhao Yu Sehoon Ha Chenxi Liu EgoV 150 3 0 06 Nov 2020
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward CompositionIEEE International Conference on Robotics and Automation (ICRA), 2020 J. Siekmann Yesh Godse Alan Fern J. Hurst 292 190 0 02 Nov 2020
Observation Space Matters: Benchmark and Optimization AlgorithmIEEE International Conference on Robotics and Automation (ICRA), 2020 J. Kim Sehoon Ha OOD OffRL 175 12 0 02 Nov 2020
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural NetworksIET Cyber-Systems and Robotics (ICR), 2020 Zhicheng Wang Anqiao Li Yixiao Zheng Anhuan Xie Zhibin Li Jun Wu Qiuguo Zhu 171 4 0 01 Nov 2020
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime Andrea Agazzi Jianfeng Lu 180 19 0 22 Oct 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 315 1,405 0 21 Oct 2020
Planning in Learned Latent Action Spaces for Generalizable Legged LocomotionIEEE Robotics and Automation Letters (RA-L), 2020 Tianyu Li Roberto Calandra Deepak Pathak Yuandong Tian Franziska Meier Akshara Rai 244 31 0 27 Aug 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 435 57 0 23 Aug 2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement LearningConference on Robot Learning (CoRL), 2020 Tianjian Chen Zhanpeng He M. Ciocarlie 167 57 0 11 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement LearningIEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020 Grgur Kovač A. Laversanne-Finot Pierre-Yves Oudeyer 226 12 0 10 Aug 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in LocomotionConference on Robot Learning (CoRL), 2020 Agrim Gupta Tim Hertweck Philipp Kloppner Michael Bloesch Michael Neunert Markus Wulfmeier S. Tunyasuvunakool N. Heess Martin Riedmiller 153 20 0 06 Aug 2020
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning A. Viitala Rinu Boney Yi Zhao Alexander Ilin Arno Solin OffRL 98 8 0 03 Aug 2020
Interferobot: aligning an optical interferometer by a reinforcement learning agentNeural Information Processing Systems (NeurIPS), 2020 Dmitry Sorokin Alexander Ulanov E. A. Sazhina A. Lvovsky 180 17 0 03 Jun 2020
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space Jonas C. Kiemel Robin Weitemeyer Pascal Meissner Torsten Kröger TTA 117 3 0 30 May 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 126 107 0 20 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 200 72 0 12 May 2020
Towards Embodied Scene Description Sinan Tan Huaping Liu Di Guo Xinyu Zhang F. Sun LM&Ro 94 10 0 30 Apr 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning Archit Sharma Michael Ahn Sergey Levine Vikash Kumar Karol Hausman S. Gu SSL OffRL 108 54 0 27 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 268 597 0 02 Apr 2020