Learning to Walk via Deep Reinforcement Learning

26 December 2018

Jie Tan

Papers citing "Learning to Walk via Deep Reinforcement Learning"

50 / 225 papers shown

Title
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning Alessandro Paolo Capasso Paolo Maramotti Anthony DellÉva A. Broggi 73 18 0 28 Apr 2021
Adaptive Variants of Optimal Feedback Policies B. Lopez Jean-Jacques E. Slotine OffRL 29 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 11 1 0 26 Mar 2021
Imitation Learning from MPC for Quadrupedal Multi-Gait Control Alexander Reske Jan Carius Yuntao Ma Farbod Farshidian Marco Hutter 16 38 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 13 2 0 13 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 41 175 0 10 Mar 2021
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme Konstantin Avrachenkov Vivek Borkar H. Dolhare K. Patil 30 9 0 10 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 38 37 0 08 Mar 2021
Addressing Action Oscillations through Learning Policy Inertia Chong Chen Hongyao Tang Jianye Hao Wulong Liu Zhaopeng Meng 34 18 0 03 Mar 2021
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences Mincheol Kim S. Niekum A. Deshpande 22 4 0 16 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 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 16 516 0 04 Feb 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 26 1 0 19 Jan 2021
Regularized Policies are Reward Robust Hisham Husain K. Ciosek Ryota Tomioka 11 23 0 18 Jan 2021
RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control Siddhant Gangapurwala Mathieu Geisert Romeo Orsolino Maurice F. Fallon Ioannis Havoutis 37 114 0 05 Dec 2020
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment Arturo Cruz-Maya 11 3 0 02 Dec 2020
Learning from Simulation, Racing in Reality Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 33 25 0 26 Nov 2020
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents Joanne Truong Sonia Chernova Dhruv Batra 33 55 0 24 Nov 2020
Stability Analysis of Complementarity Systems with Neural Network Controllers Alp Aydinoglu Mahyar Fazlyab M. Morari Michael Posa 9 9 0 15 Nov 2020
Learning Agile Locomotion Skills with a Mentor Atil Iscen George Yu Alejandro Escontrela Deepali Jain Jie Tan Ken Caluwaerts 14 14 0 11 Nov 2020
Zero-Shot Terrain Generalization for Visual Locomotion Policies Alejandro Escontrela George Yu P. Xu Atil Iscen Jie Tan 11 17 0 11 Nov 2020
Learning Human Search Behavior from Egocentric Visual Inputs Maks Sorokin Wenhao Yu Sehoon Ha Chenxi Liu EgoV 27 3 0 06 Nov 2020
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition J. Siekmann Yesh Godse Alan Fern J. Hurst 8 152 0 02 Nov 2020
Observation Space Matters: Benchmark and Optimization Algorithm J. Kim Sehoon Ha OOD OffRL 21 11 0 02 Nov 2020
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks Zhicheng Wang Anqiao Li Yixiao Zheng Anhuan Xie Zhibin Li Jun Wu Qiuguo Zhu 14 3 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 13 15 0 22 Oct 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 32 1,134 0 21 Oct 2020
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion Tianyu Li Roberto Calandra Deepak Pathak Yuandong Tian Franziska Meier Akshara Rai 19 30 0 27 Aug 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 37 45 0 23 Aug 2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning Tianjian Chen Zhanpeng He M. Ciocarlie 19 45 0 11 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning Grgur Kovač A. Laversanne-Finot Pierre-Yves Oudeyer 20 12 0 10 Aug 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion Roland Hafner Tim Hertweck Philipp Kloppner Michael Bloesch Michael Neunert Markus Wulfmeier S. Tunyasuvunakool N. Heess Martin Riedmiller 20 19 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 14 7 0 03 Aug 2020
Interferobot: aligning an optical interferometer by a reinforcement learning agent Dmitry Sorokin Alexander Ulanov E. A. Sazhina A. Lvovsky 13 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 6 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 19 95 0 20 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 32 57 0 12 May 2020
Towards Embodied Scene Description Sinan Tan Huaping Liu Di Guo Xinyu Zhang F. Sun LM&Ro 10 9 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 18 46 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 16 496 0 02 Apr 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 35 37 0 19 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 112 79 0 02 Mar 2020
Real-World Human-Robot Collaborative Reinforcement Learning A. Shafti Jonas Tjomsland William Dudley Aldo A. Faisal 43 17 0 02 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning Alberto Maria Metelli Flavio Mazzolini L. Bisi Luca Sabbioni Marcello Restelli 8 40 0 17 Feb 2020
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning Zhang-Wei Hong P. Nagarajan Guilherme J. Maeda OffRL 15 4 0 01 Feb 2020
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning Ameya Pore G. Aragon-Camarasa 15 10 0 22 Jan 2020
Self-guided Approximate Linear Programs Parshan Pakiman Selvaprabu Nadarajah Negar Soheili Qihang Lin 6 3 0 09 Jan 2020
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 31 4 0 21 Dec 2019
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions Jonas Tjomsland A. Shafti Aldo A. Faisal 14 6 0 02 Dec 2019