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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 / 235 papers shown

Title
Lyapunov Design for Robust and Efficient Robotic Reinforcement LearningConference on Robot Learning (CoRL), 2022 T. Westenbroek F. Castañeda Ayush Agrawal S. Shankar Sastry Koushil Sreenath 236 35 0 13 Aug 2022
World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator T. Matsushima Yukiyasu Noguchi Jumpei Arima Toshiki Aoki Yuki Okita ... Yuki Yamashita Shoichi Seto S. Gu Yusuke Iwasawa Yutaka Matsuo 238 9 0 20 Jul 2022
Active Exploration for Inverse Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 David Lindner Andreas Krause Giorgia Ramponi 320 33 0 18 Jul 2022
Associative Memory Based Experience Replay for Deep Reinforcement Learning Mengyuan Li Arman Kazemi Ann Franchesca Laguna Sharon Hu VLM 92 10 0 16 Jul 2022
Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction and Adaptationnpj Robotics (npj Robotics), 2022 Yuhang Hu Boyuan Chen Hod Lipson 192 5 0 07 Jul 2022
Learning fast and agile quadrupedal locomotion over complex terrain Xu Chang Zhitong Zhang Honglei An Hongxu Ma Qing Wei 142 0 0 02 Jul 2022
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning David Lindner Mennatallah El-Assady OffRL 167 22 0 27 Jun 2022
FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot LearningIEEE International Conference on Robotics and Automation (ICRA), 2022 Wenji Liu Kai-Yi Bai Xuming He Shuran Song Changxi Zheng Xiaopei Liu AI4CE 172 24 0 03 Jun 2022
Adapting Rapid Motor Adaptation for Bipedal RobotsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Ashish Kumar Zhongyu Li Jun Zeng Deepak Pathak Koushil Sreenath Jitendra Malik 319 92 0 30 May 2022
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning Sunwoo Kim Maks Sorokin Jehee Lee Sehoon Ha 201 17 0 28 Apr 2022
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation Yunho Kim Chanyoung Kim Jemin Hwangbo 237 13 0 19 Apr 2022
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learningPNAS Nexus (PNAS Nexus), 2022 P. A. Erdman Frank Noé 144 11 0 10 Apr 2022
Hybrid LMC: Hybrid Learning and Model-based Control for Wheeled Humanoid Robot via Ensemble Deep Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 D. Baek Amartya Purushottam Joao Ramos 156 14 0 07 Apr 2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors Steven Bohez S. Tunyasuvunakool Philemon Brakel Fereshteh Sadeghi Leonard Hasenclever ... Ashwin Balakrishna Federico Casarini J. Merel R. Hadsell N. Heess 259 59 0 31 Mar 2022
Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies Prasang Gupta Shaz Hoda Anand Srinivasa Rao AIFin 72 0 0 24 Mar 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical RobotsIEEE International Conference on Robotics and Automation (ICRA), 2022 Yufeng Yuan Rupam Mahmood OffRL 295 24 0 23 Mar 2022
Learning Torque Control for Quadrupedal LocomotionIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022 Shuxiao Chen Bike Zhang M. Mueller Akshara Rai Koushil Sreenath 219 49 0 10 Mar 2022
Safe Reinforcement Learning for Legged LocomotionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 243 49 0 05 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Hongpeng Cao Mirco Theile Federico G. Wyrwal Marco Caccamo 267 12 0 04 Mar 2022
Approximating a deep reinforcement learning docking agent using linear model treesEuropean Control Conference (ECC), 2021 Vilde B. Gjærum Ella-Lovise H. Rørvik A. Lekkas 129 7 0 01 Mar 2022
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted VisualizationJournal of Marine Science and Engineering (JMSE), 2021 Vilde B. Gjærum Inga Strümke O. Alsos A. Lekkas FAtt 167 18 0 01 Mar 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 Sasha Salter Kristian Hartikainen Walter Goodwin Ingmar Posner OffRL 189 5 0 20 Jan 2022
Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement LearningAdvanced Intelligent Systems (AIS), 2022 Michael R. Behrens Warren C. Ruder 161 44 0 14 Jan 2022
Maximum Entropy Population-Based Training for Zero-Shot Human-AI CoordinationAAAI Conference on Artificial Intelligence (AAAI), 2021 Rui Zhao Jinming Song Yufeng Yuan Haifeng Hu Yang Gao Yi Wu Zhongqian Sun Yang Wei 311 85 0 22 Dec 2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf 143 1 0 10 Dec 2021
Optimization-free Ground Contact Force Constraint Satisfaction in Quadrupedal Locomotion Eric N. Sihite Pravin Dangol A. Ramezani 156 20 0 24 Nov 2021
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot LearningIEEE International Conference on Robotics and Automation (ICRA), 2021 Utkarsh Aashu Mishra Soumya R. Samineni Prakhar Goel Chandravaran Kunjeti Himanshu Lodha Aman Singh Aditya Sagi S. Bhatnagar Shishir Kolathaya 149 4 0 04 Nov 2021
An Adaptable Approach to Learn Realistic Legged Locomotion without ExamplesIEEE International Conference on Robotics and Automation (ICRA), 2021 Daniel Felipe Ordoñez Apraez Antonio Agudo Francesc Moreno-Noguer Mario Martin 251 8 0 28 Oct 2021
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged RobotsConference on Robot Learning (CoRL), 2021 Zipeng Fu Ashish Kumar Jitendra Malik Deepak Pathak 180 144 0 25 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 136 3 0 19 Oct 2021
Dual-Arm Adversarial Robot Learning Elie Aljalbout 90 2 0 15 Oct 2021
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real WorldIEEE International Conference on Robotics and Automation (ICRA), 2021 Laura M. Smith J. Kew Xue Bin Peng Sehoon Ha Jie Tan Sergey Levine 264 126 0 11 Oct 2021
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation Eugenio Chisari Tim Welschehold Joschka Boedecker Wolfram Burgard Abhinav Valada 121 45 0 07 Oct 2021
OTTR: Off-Road Trajectory Tracking using Reinforcement Learning Akhil Nagariya D. Kalathil Srikanth Saripalli OffRL 99 1 0 05 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 254 84 0 28 Sep 2021
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning Nitish Sontakke Sehoon Ha 159 1 0 27 Sep 2021
PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal LocomotionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Ren Liu Nitish Sontakke Sehoon Ha 275 2 0 26 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy ExperienceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 C. Banerjee Zhiyong Chen N. Noman 143 43 0 24 Sep 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences Annie Xie Chelsea Finn OffRL CLL 246 50 0 19 Sep 2021
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains Zhaocheng Liu Fernando Acero Zhibin Li 149 2 0 09 Sep 2021
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning Owen Lockwood 129 13 0 07 Sep 2021
Identifying optimal cycles in quantum thermal machines with reinforcement-learningnpj Quantum Information (npjQI), 2021 P. A. Erdman Frank Noé AI4CE 134 79 0 30 Aug 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 167 9 0 16 Aug 2021
Meta-Reinforcement Learning in Broad and Non-Parametric EnvironmentsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Zhenshan Bing Lukas Knak F. O. Morin Kai-Qi Huang Alois C. Knoll OffRL 165 24 0 08 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological EnvironmentsConference on Robot Learning (CoRL), 2021 S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... Chenxi Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 387 207 0 06 Aug 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile ManipulationConference on Robot Learning (CoRL), 2021 Charles Sun Jkedrzej Orbik Coline Devin Brian Yang Abhishek Gupta Glen Berseth Sergey Levine SSL 209 67 0 28 Jul 2021
Autonomous Reinforcement Learning via Subgoal CurriculaNeural Information Processing Systems (NeurIPS), 2021 Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 205 32 0 27 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 211 38 0 21 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 198 19 0 12 Jul 2021
Aligning an optical interferometer with beam divergence control and continuous action spaceConference on Robot Learning (CoRL), 2021 Stepan Makarenko Dmitry Sorokin Alexander Ulanov A. Lvovsky AI4CE 95 4 0 09 Jul 2021