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Learning to Walk via Deep Reinforcement Learning
26 December 2018
Tuomas Haarnoja
Sehoon Ha
Aurick Zhou
Jie Tan
George Tucker
Sergey Levine
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Papers citing
"Learning to Walk via Deep Reinforcement Learning"
50 / 235 papers shown
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Conference on Robot Learning (CoRL), 2022
T. Westenbroek
F. Castañeda
Ayush Agrawal
S. Shankar Sastry
Koushil Sreenath
258
36
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
258
11
0
20 Jul 2022
Active Exploration for Inverse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
David Lindner
Andreas Krause
Giorgia Ramponi
362
33
0
18 Jul 2022
Associative Memory Based Experience Replay for Deep Reinforcement Learning
Mengyuan Li
Arman Kazemi
Ann Franchesca Laguna
Sharon Hu
VLM
96
10
0
16 Jul 2022
Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction and Adaptation
npj Robotics (npj Robotics), 2022
Yuhang Hu
Boyuan Chen
Hod Lipson
256
7
0
07 Jul 2022
Learning fast and agile quadrupedal locomotion over complex terrain
Xu Chang
Zhitong Zhang
Honglei An
Hongxu Ma
Qing Wei
150
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
185
22
0
27 Jun 2022
FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
Wenji Liu
Kai-Yi Bai
Xuming He
Shuran Song
Changxi Zheng
Xiaopei Liu
AI4CE
190
24
0
03 Jun 2022
Adapting Rapid Motor Adaptation for Bipedal Robots
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Ashish Kumar
Zhongyu Li
Jun Zeng
Deepak Pathak
Koushil Sreenath
Jitendra Malik
341
95
0
30 May 2022
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning
Sunwoo Kim
Maks Sorokin
Jehee Lee
Sehoon Ha
217
17
0
28 Apr 2022
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation
Yunho Kim
Chanyoung Kim
Jemin Hwangbo
249
13
0
19 Apr 2022
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning
PNAS Nexus (PNAS Nexus), 2022
P. A. Erdman
Frank Noé
163
11
0
10 Apr 2022
Hybrid LMC: Hybrid Learning and Model-based Control for Wheeled Humanoid Robot via Ensemble Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
D. Baek
Amartya Purushottam
Joao Ramos
168
15
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
269
60
0
31 Mar 2022
Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies
Prasang Gupta
Shaz Hoda
Anand Srinivasa Rao
AIFin
76
0
0
24 Mar 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots
IEEE International Conference on Robotics and Automation (ICRA), 2022
Yufeng Yuan
Rupam Mahmood
OffRL
345
24
0
23 Mar 2022
Learning Torque Control for Quadrupedal Locomotion
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022
Shuxiao Chen
Bike Zhang
M. Mueller
Akshara Rai
Koushil Sreenath
253
53
0
10 Mar 2022
Safe Reinforcement Learning for Legged Locomotion
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Tsung-Yen Yang
Tingnan Zhang
Linda Luu
Sehoon Ha
Jie Tan
Wenhao Yu
248
49
0
05 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
297
12
0
04 Mar 2022
Approximating a deep reinforcement learning docking agent using linear model trees
European 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 Visualization
Journal of Marine Science and Engineering (JMSE), 2021
Vilde B. Gjærum
Inga Strümke
O. Alsos
A. Lekkas
FAtt
175
18
0
01 Mar 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Sasha Salter
Kristian Hartikainen
Walter Goodwin
Ingmar Posner
OffRL
207
5
0
20 Jan 2022
Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement Learning
Advanced Intelligent Systems (AIS), 2022
Michael R. Behrens
Warren C. Ruder
166
49
0
14 Jan 2022
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
AAAI Conference on Artificial Intelligence (AAAI), 2021
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
391
87
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
165
1
0
10 Dec 2021
Optimization-free Ground Contact Force Constraint Satisfaction in Quadrupedal Locomotion
Eric N. Sihite
Pravin Dangol
A. Ramezani
185
20
0
24 Nov 2021
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning
IEEE 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
165
4
0
04 Nov 2021
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
IEEE International Conference on Robotics and Automation (ICRA), 2021
Daniel Felipe Ordoñez Apraez
Antonio Agudo
Francesc Moreno-Noguer
Mario Martin
267
8
0
28 Oct 2021
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
Conference on Robot Learning (CoRL), 2021
Zipeng Fu
Ashish Kumar
Jitendra Malik
Deepak Pathak
205
145
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
162
3
0
19 Oct 2021
Dual-Arm Adversarial Robot Learning
Elie Aljalbout
123
2
0
15 Oct 2021
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World
IEEE International Conference on Robotics and Automation (ICRA), 2021
Laura M. Smith
J. Kew
Xue Bin Peng
Sehoon Ha
Jie Tan
Sergey Levine
280
128
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
150
45
0
07 Oct 2021
OTTR: Off-Road Trajectory Tracking using Reinforcement Learning
Akhil Nagariya
D. Kalathil
Srikanth Saripalli
OffRL
128
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
272
86
0
28 Sep 2021
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning
Nitish Sontakke
Sehoon Ha
176
1
0
27 Sep 2021
PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Ren Liu
Nitish Sontakke
Sehoon Ha
289
2
0
26 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
C. Banerjee
Zhiyong Chen
N. Noman
151
47
0
24 Sep 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences
Annie Xie
Chelsea Finn
OffRL
CLL
264
51
0
19 Sep 2021
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains
Zhaocheng Liu
Fernando Acero
Zhibin Li
165
2
0
09 Sep 2021
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
Owen Lockwood
167
13
0
07 Sep 2021
Identifying optimal cycles in quantum thermal machines with reinforcement-learning
npj Quantum Information (npjQI), 2021
P. A. Erdman
Frank Noé
AI4CE
134
81
0
30 Aug 2021
Optimal Actor-Critic Policy with Optimized Training Datasets
C. Banerjee
Zhiyong Chen
N. Noman
M. Zamani
OffRL
206
9
0
16 Aug 2021
Meta-Reinforcement Learning in Broad and Non-Parametric Environments
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zhenshan Bing
Lukas Knak
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
OffRL
170
24
0
08 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
Conference 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
421
208
0
06 Aug 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
Conference on Robot Learning (CoRL), 2021
Charles Sun
Jkedrzej Orbik
Coline Devin
Brian Yang
Abhishek Gupta
Glen Berseth
Sergey Levine
SSL
291
67
0
28 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Neural Information Processing Systems (NeurIPS), 2021
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
240
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
239
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
224
19
0
12 Jul 2021
Aligning an optical interferometer with beam divergence control and continuous action space
Conference on Robot Learning (CoRL), 2021
Stepan Makarenko
Dmitry Sorokin
Alexander Ulanov
A. Lvovsky
AI4CE
121
4
0
09 Jul 2021
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