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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"

35 / 235 papers shown

Title
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 312 600 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 360 39 0 19 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 367 89 0 02 Mar 2020
Real-World Human-Robot Collaborative Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 A. Shafti Jonas Tjomsland William Dudley Aldo A. Faisal 253 19 0 02 Mar 2020
Learning to Walk in the Real World with Minimal Human EffortConference on Robot Learning (CoRL), 2020 Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 358 195 0 20 Feb 2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020 Alberto Maria Metelli Flavio Mazzolini L. Bisi Luca Sabbioni Marcello Restelli 141 42 0 17 Feb 2020
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning Zhang-Wei Hong P. Nagarajan Guilherme J. Maeda OffRL 153 5 0 01 Feb 2020
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2020 Ameya Pore G. Aragon-Camarasa 134 12 0 22 Jan 2020
Self-guided Approximate Linear ProgramsSocial Science Research Network (SSRN), 2020 Parshan Pakiman Selvaprabu Nadarajah Negar Soheili Qihang Lin 144 3 0 09 Jan 2020
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 163 6 0 21 Dec 2019
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions Jonas Tjomsland A. Shafti Aldo A. Faisal 89 7 0 02 Dec 2019
Attention-Privileged Reinforcement LearningConference on Robot Learning (CoRL), 2019 Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 218 8 0 19 Nov 2019
Asynchronous Methods for Model-Based Reinforcement LearningConference on Robot Learning (CoRL), 2019 Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 129 29 0 28 Oct 2019
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning Guillaume Bellegarda Katie Byl OffRL 107 5 0 21 Oct 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics DisagreementNeural Information Processing Systems (NeurIPS), 2019 Chao Yang Xiaojian Ma Wenbing Huang F. Sun Huaping Liu Junzhou Huang Chuang Gan 246 77 0 10 Oct 2019
Decentralized Multi-Agent Actor-Critic with Generative Inference Kevin Corder Manuel M. Vindiola Keith S. Decker OffRL 82 6 0 07 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 152 65 0 04 Oct 2019
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization Gabriel Kalweit M. Huegle Joschka Boedecker OffRL 164 6 0 30 Sep 2019
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2019 Tianyu Li Nathan Lambert Roberto Calandra Franziska Meier Akshara Rai 237 44 0 26 Sep 2019
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2019 Vassilios Tsounis Mitja Alge Joonho Lee Farbod Farshidian Marco Hutter 200 214 0 18 Sep 2019
ISL: A novel approach for deep exploration Lucas Cassano Ali H. Sayed 267 1 0 13 Sep 2019
Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications Tamir Blum William Jones Kazuya Yoshida 64 8 0 13 Sep 2019
MPC-Net: A First Principles Guided Policy SearchIEEE Robotics and Automation Letters (RA-L), 2019 Jan Carius Farbod Farshidian Marco Hutter 174 60 0 11 Sep 2019
Generalization in Transfer LearningRobotica (Cambridge. Print) (RCP), 2019 S. E. Ada Emre Ugur H. L. Akin 156 24 0 03 Sep 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategiesChaos (Chaos), 2019 Felix M. Strnad W. Barfuss J. Donges J. Heitzig 139 30 0 15 Aug 2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2RealConference on Robot Learning (CoRL), 2019 Ofir Nachum Michael Ahn Hugo Ponte S. Gu Vikash Kumar 256 97 0 13 Aug 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic CompressionConference on Robot Learning (CoRL), 2019 Rika Antonova Akshara Rai Tianyu Li Danica Kragic DRL 192 21 0 10 Jul 2019
Data Efficient Reinforcement Learning for Legged RobotsConference on Robot Learning (CoRL), 2019 Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 271 161 0 08 Jul 2019
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimesMathematical and Scientific Machine Learning (MSML), 2019 Andrea Agazzi Jianfeng Lu 333 8 0 27 May 2019
Evolving Rewards to Automate Reinforcement Learning Aleksandra Faust Anthony G. Francis Dar Mehta 200 52 0 18 May 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 169 34 0 25 Mar 2019
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder Heecheol Kim Masanori Yamada Kosuke Miyoshi Hiroshi Yamakawa DRL 114 6 0 22 Mar 2019
Towards Characterizing Divergence in Deep Q-Learning Joshua Achiam Ethan Knight Pieter Abbeel 171 102 0 21 Mar 2019
Sim-to-Real Transfer for Biped LocomotionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019 Wenhao Yu Visak C. V. Kumar Greg Turk Chenxi Liu 205 131 0 04 Mar 2019
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 217 2 0 26 Jul 2018