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Leveraging Demonstrations for Deep Reinforcement Learning on Robotics
  Problems with Sparse Rewards

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

27 July 2017
Matej Vecerík
Todd Hester
Jonathan Scholz
Fumin Wang
Olivier Pietquin
Bilal Piot
N. Heess
Thomas Rothörl
Thomas Lampe
Martin Riedmiller
    OffRL
ArXivPDFHTML

Papers citing "Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards"

50 / 160 papers shown
Title
A Benchmark Comparison of Imitation Learning-based Control Policies for
  Autonomous Racing
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing
Xiatao Sun
Mingyan Zhou
Zhijun Zhuang
Shuo Yang
Johannes Betz
Rahul Mangharam
OffRL
42
20
0
29 Sep 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse
  Reward Environments
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Desik Rengarajan
Sapana Chaudhary
JaeWon Kim
D. Kalathil
S. Shakkottai
OffRL
29
2
0
26 Sep 2022
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep
  Reinforcement Learning
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George
Alison Bartsch
A. Farimani
OffRL
19
5
0
22 Sep 2022
MetaTrader: An Reinforcement Learning Approach Integrating Diverse
  Policies for Portfolio Optimization
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization
Hui Niu
Siyuan Li
Jian Li
AIFin
32
30
0
01 Sep 2022
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement
  Learning
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning
Qing Fu
Tenghai Qiu
Zhiqiang Pu
Jianqiang Yi
Wanmai Yuan
39
2
0
05 Aug 2022
Learning Object Manipulation Skills from Video via Approximate
  Differentiable Physics
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics
Vladimir Petrik
M. N. Qureshi
Josef Sivic
Makarand Tapaswi
41
9
0
03 Aug 2022
Robot Policy Learning from Demonstration Using Advantage Weighting and
  Early Termination
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
OffRL
44
2
0
31 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic
  Reinforcement Learning
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRL
OnRL
29
32
0
11 Jul 2022
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement
  Learning and Real2Sim Policy Adaptation
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Yiwen Chen
Xue-Yong Li
Sheng Guo
Xiang Yao Ng
Marcelo H. Ang Jr
26
4
0
06 Jun 2022
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual
  Imitation Learning
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
Maximilian Du
Olivia Y. Lee
Suraj Nair
Chelsea Finn
OffRL
62
33
0
30 May 2022
Factory: Fast Contact for Robotic Assembly
Factory: Fast Contact for Robotic Assembly
Yashraj S. Narang
Kier Storey
Iretiayo Akinola
Miles Macklin
Philipp Reist
...
Ádám Moravánszky
Gavriel State
Michelle Lu
Ankur Handa
Dieter Fox
35
76
0
07 May 2022
From One Hand to Multiple Hands: Imitation Learning for Dexterous
  Manipulation from Single-Camera Teleoperation
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation
Yuzhe Qin
Hao Su
Xiaolong Wang
29
99
0
26 Apr 2022
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing
  for One-Shot Imitation Learning
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning
Eugene Valassakis
Georgios Papagiannis
Norman Di Palo
Edward Johns
32
41
0
06 Apr 2022
Jump-Start Reinforcement Learning
Jump-Start Reinforcement Learning
Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
...
Chuyuan Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
OffRL
OnRL
44
109
0
05 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp
  Affordance
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
Yueh-hua Wu
Jiashun Wang
Xiaolong Wang
34
55
0
05 Apr 2022
Learning Personalized Human-Aware Robot Navigation Using Virtual Reality
  Demonstrations from a User Study
Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study
Jorge de Heuvel
Nathan Corral
Lilli Bruckschen
Maren Bennewitz
30
14
0
28 Mar 2022
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient
  Dexterous Manipulation
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam
Sneha Silwal
Ben Evans
Lerrel Pinto
42
102
0
24 Mar 2022
Combining imitation and deep reinforcement learning to accomplish
  human-level performance on a virtual foraging task
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task
Vittorio Giammarino
Matthew F. Dunne
Kylie N. Moore
Michael Hasselmo
Chantal E. Stern
I. Paschalidis
OffRL
39
5
0
11 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement
  Learning
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
43
6
0
04 Mar 2022
Reinforcement Learning from Demonstrations by Novel Interactive Expert
  and Application to Automatic Berthing Control Systems for Unmanned Surface
  Vessel
Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface Vessel
Haoran Zhang
Chenkun Yin
Yanxin Zhang
S. Jin
Zhenxuan Li
OffRL
21
3
0
23 Feb 2022
Equivariant Transporter Network
Equivariant Transporter Network
Hao-zhe Huang
Dian Wang
Robin Walters
Robert W. Platt
76
53
0
18 Feb 2022
Retrieval-Augmented Reinforcement Learning
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
32
53
0
17 Feb 2022
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from
  Video
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video
Priyanka Mandikal
Kristen Grauman
143
93
0
01 Feb 2022
Overcoming Exploration: Deep Reinforcement Learning for Continuous
  Control in Cluttered Environments from Temporal Logic Specifications
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications
Mingyu Cai
Erfan Aasi
C. Belta
C. Vasile
34
24
0
28 Jan 2022
Modified DDPG car-following model with a real-world human driving
  experience with CARLA simulator
Modified DDPG car-following model with a real-world human driving experience with CARLA simulator
Dian-Tao Li
Ostap Okhrin
43
37
0
29 Dec 2021
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
Athul Paul Jacob
David J. Wu
Gabriele Farina
Adam Lerer
Hengyuan Hu
A. Bakhtin
Jacob Andreas
Noam Brown
27
52
0
14 Dec 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Norman Di Palo
Edward Johns
SSL
32
23
0
14 Nov 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human
  Intervention
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
Yunkun Xu
Zhen-yu Liu
Guifang Duan
Jiangcheng Zhu
X. Bai
Jianrong Tan
18
9
0
10 Nov 2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at
  Scale
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Yao Lu
Karol Hausman
Yevgen Chebotar
Mengyuan Yan
Eric Jang
...
Ted Xiao
A. Irpan
Mohi Khansari
Dmitry Kalashnikov
Sergey Levine
OffRL
95
59
0
09 Nov 2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement
  Learning
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
Sabela Ramos
Sertan Girgin
Léonard Hussenot
Damien Vincent
Hanna Yakubovich
...
Piotr Stańczyk
Raphaël Marinier
Jeremiah Harmsen
Olivier Pietquin
Nikola Momchev
OffRL
38
24
0
04 Nov 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement
  Learning and Goal-Aware State Information
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
Jin Li
Xianyuan Zhan
Zixu Xiao
Guyue Zhou
OffRL
OnRL
29
2
0
21 Oct 2021
Continuous Control with Action Quantization from Demonstrations
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
Damien Vincent
Sertan Girgin
Anton Raichuk
M. Geist
Olivier Pietquin
OffRL
33
23
0
19 Oct 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided
  Reinforcement Learning
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
Yantian Zha
L. Guan
Subbarao Kambhampati
26
5
0
11 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion
Offline Meta-Reinforcement Learning for Industrial Insertion
Tony Zhao
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
N. Heess
Jonathan Scholz
S. Schaal
Sergey Levine
OffRL
OnRL
27
80
0
08 Oct 2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception
  for Robust Reinforcement Learning Agents
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
Miguel Vasco
Hang Yin
Francisco S. Melo
Ana Paiva
34
7
0
07 Oct 2021
Solving the Real Robot Challenge using Deep Reinforcement Learning
Solving the Real Robot Challenge using Deep Reinforcement Learning
Robert McCarthy
Francisco Roldan Sanchez
Qiang Wang
David Córdova Bulens
Kevin McGuinness
Noel E. O'Connor
S. Redmond
29
11
0
30 Sep 2021
Prioritized Experience-based Reinforcement Learning with Human Guidance
  for Autonomous Driving
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving
Jingda Wu
Zhiyu Huang
Wenhui Huang
Chen Lv
57
74
0
26 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot
  Navigation: A Reinforcement Learning Approach
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach
Minghao Li
Yingrui Jie
Yang Kong
Hui Cheng
43
9
0
17 Sep 2021
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
Yuzhe Qin
Yueh-hua Wu
Shaowei Liu
Hanwen Jiang
Ruihan Yang
Yang Fu
Xiaolong Wang
134
190
0
12 Aug 2021
Tolerance-Guided Policy Learning for Adaptable and Transferrable
  Delicate Industrial Insertion
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
Boshen Niu
Chenxi Wang
Changliu Liu
29
4
0
04 Aug 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep
  Reinforcement Learning for Robotics
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
27
31
0
21 Jul 2021
Explore and Control with Adversarial Surprise
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
42
8
0
12 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Lirui Wang
Xiangyun Meng
Yu Xiang
Dieter Fox
3DPC
DRL
21
27
0
04 Jul 2021
Neural Task Success Classifiers for Robotic Manipulation from Few Real
  Demonstrations
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
A. Mohtasib
Amir Ghalamzan
Nicola Bellotto
Heriberto Cuay´ahuitl
13
1
0
01 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
58
788
0
12 Jun 2021
Formula RL: Deep Reinforcement Learning for Autonomous Racing using
  Telemetry Data
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda
Sarah Krebs
Eduardo E. Veas
Granit Luzhnica
Roman Kern
OffRL
34
23
0
22 Apr 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to
  Autonomous Driving
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
Jingda Wu
Zhiyu Huang
Chao Huang
Zhongxu Hu
Peng Hang
Yang Xing
Chen Lv
42
41
0
15 Apr 2021
Self-Imitation Learning by Planning
Self-Imitation Learning by Planning
Junhyuk Oh
Yijie Guo
Satinder Singh
SSL
35
85
0
25 Mar 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement
  Learning and Demonstrations: A Large-Scale Study
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
Wenzhao Lian
Chang Su
Mel Vecerík
Ning Ye
S. Schaal
Jonathan Scholz
OffRL
27
60
0
21 Mar 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for
  Autonomous Driving
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
Zhiyu Huang
Jingda Wu
Chen Lv
21
133
0
19 Mar 2021
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