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Learning Modular Robot Locomotion from Demonstrations

Learning Modular Robot Locomotion from Demonstrations

31 October 2022
Julian Whitman
Howie Choset
ArXiv (abs)PDFHTML

Papers citing "Learning Modular Robot Locomotion from Demonstrations"

27 / 27 papers shown
Title
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin
David Hoeller
Philipp Reist
Marco Hutter
255
582
0
24 Sep 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot
  Learning
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Viktor Makoviychuk
Lukasz Wawrzyniak
Yunrong Guo
Michelle Lu
Kier Storey
...
David Hoeller
Nikita Rudin
Arthur Allshire
Ankur Handa
Gavriel State
180
1,091
0
24 Aug 2021
Learning Modular Robot Control Policies
Learning Modular Robot Control Policies
Julian Whitman
Matthew Travers
Howie Choset
51
44
0
20 May 2021
On the Importance of Hyperparameter Optimization for Model-based
  Reinforcement Learning
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Bangnig Zhang
Raghunandan Rajan
Luis Pineda
Nathan Lambert
André Biedenkapp
Kurtland Chua
Frank Hutter
Roberto Calandra
116
103
0
26 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
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
158
533
0
04 Feb 2021
Learning Quadrupedal Locomotion over Challenging Terrain
Learning Quadrupedal Locomotion over Challenging Terrain
Joonho Lee
Jemin Hwangbo
Lorenz Wellhausen
V. Koltun
Marco Hutter
148
1,177
0
21 Oct 2020
On the model-based stochastic value gradient for continuous
  reinforcement learning
On the model-based stochastic value gradient for continuous reinforcement learning
Brandon Amos
Samuel Stanton
Denis Yarats
A. Wilson
70
71
0
28 Aug 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in
  Locomotion
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
75
20
0
06 Aug 2020
One Policy to Control Them All: Shared Modular Policies for
  Agent-Agnostic Control
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang
Igor Mordatch
Deepak Pathak
119
178
0
09 Jul 2020
Deep Drone Acrobatics
Deep Drone Acrobatics
Elia Kaufmann
Antonio Loquercio
René Ranftl
Matthias Muller
V. Koltun
Davide Scaramuzza
62
150
0
10 Jun 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
56
127
0
16 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng
Erwin Coumans
Tingnan Zhang
T. Lee
Jie Tan
Sergey Levine
141
508
0
02 Apr 2020
Urban Driving with Conditional Imitation Learning
Urban Driving with Conditional Imitation Learning
Jeffrey Hawke
Richard Shen
Corina Gurau
Siddharth Sharma
Daniele Reda
...
Przemyslaw Mazur
Sean Micklethwaite
Nicolas Griffiths
Amar Shah
Alex Kendall
117
147
0
30 Nov 2019
Policies Modulating Trajectory Generators
Policies Modulating Trajectory Generators
Atil Iscen
Ken Caluwaerts
Jie Tan
Tingnan Zhang
Erwin Coumans
Vikas Sindhwani
Vincent Vanhoucke
65
132
0
07 Oct 2019
Data Efficient Reinforcement Learning for Legged Robots
Data Efficient Reinforcement Learning for Legged Robots
Yuxiang Yang
Ken Caluwaerts
Atil Iscen
Tingnan Zhang
Jie Tan
Vikas Sindhwani
83
140
0
08 Jul 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
113
957
0
19 Jun 2019
Goal-conditioned Imitation Learning
Goal-conditioned Imitation Learning
Yiming Ding
Carlos Florensa
Mariano Phielipp
Pieter Abbeel
67
227
0
13 Jun 2019
Learning agile and dynamic motor skills for legged robots
Learning agile and dynamic motor skills for legged robots
Jemin Hwangbo
Joonho Lee
Alexey Dosovitskiy
Dario Bellicoso
Vassilios Tsounis
V. Koltun
Marco Hutter
116
1,317
0
24 Jan 2019
Differentiable MPC for End-to-end Planning and Control
Differentiable MPC for End-to-end Planning and Control
Brandon Amos
I. D. Rodriguez
Jacob Sacks
Byron Boots
J. Zico Kolter
97
377
0
31 Oct 2018
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
Guillaume Sartoretti
Justin Kerr
Yunfei Shi
Glenn Wagner
T. K. S. Kumar
Sven Koenig
Howie Choset
115
319
0
10 Sep 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic
  Dynamics Models
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua
Roberto Calandra
R. McAllister
Sergey Levine
BDL
230
1,284
0
30 May 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Jie Tan
Tingnan Zhang
Erwin Coumans
Atil Iscen
Yunfei Bai
Danijar Hafner
Steven Bohez
Vincent Vanhoucke
94
808
0
27 Apr 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
106
976
0
08 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
547
19,296
0
20 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
208
938
0
07 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
282
2,339
0
05 Jul 2017
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
256
3,238
0
02 Nov 2010
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