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1904.07854
Cited By
End-to-End Robotic Reinforcement Learning without Reward Engineering
16 April 2019
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
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Papers citing
"End-to-End Robotic Reinforcement Learning without Reward Engineering"
50 / 51 papers shown
Title
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Andreas Ziegler
David Joseph
Thomas Gossard
Emil Moldovan
A. Zell
29
0
0
25 Apr 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Sinan Ibrahim
Mostafa Mostafa
Ali Jnadi
Hadi Salloum
Pavel Osinenko
OffRL
37
12
0
31 Dec 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
Ondrej Biza
Thomas Weng
Lingfeng Sun
Karl Schmeckpeper
Tarik Kelestemur
Yecheng Jason Ma
Robert C. Platt
Jan Willem van de Meent
Lawson L. S. Wong
OffRL
43
0
0
25 Oct 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Yen-Ru Lai
Fu-Chieh Chang
Pei-Yuan Wu
OffRL
64
1
0
22 Aug 2024
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
Yanting Yang
Minghao Chen
Qibo Qiu
Jiahao Wu
Wenxiao Wang
Binbin Lin
Ziyu Guan
Xiaofei He
LM&Ro
37
2
0
20 Jul 2024
Affordance-Guided Reinforcement Learning via Visual Prompting
Olivia Y. Lee
Annie Xie
Kuan Fang
Karl Pertsch
Chelsea Finn
OffRL
LM&Ro
74
7
0
14 Jul 2024
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
Kuo-Han Hung
Pang-Chi Lo
Jia-Fong Yeh
Han-Yuan Hsu
Yi-Ting Chen
Winston H. Hsu
28
0
0
26 May 2024
An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals
Chuyuan Tao
Sheng Cheng
Yang Zhao
Fanxin Wang
N. Hovakimyan
32
0
0
29 Mar 2024
Leveraging Symmetry in RL-based Legged Locomotion Control
Zhi Su
Xiaoyu Huang
Daniel Felipe Ordoñez Apraez
Yunfei Li
Zhongyu Li
...
Giulio Turrisi
Massimiliano Pontil
Claudio Semini
Yi Wu
K. Sreenath
31
14
0
26 Mar 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
Xuzhe Dang
Stefan Edelkamp
35
4
0
06 Nov 2023
On-Robot Bayesian Reinforcement Learning for POMDPs
Hai V. Nguyen
Sammie Katt
Yuchen Xiao
Chris Amato
OffRL
18
1
0
22 Jul 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li
Byron Boots
Ching-An Cheng
OffRL
26
16
0
30 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
46
17
0
02 Mar 2023
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task
Sander De Witte
Tom Lefebvre
Thijs Van Hauwermeiren
Guillaume Crevecoeur
11
0
0
22 Feb 2023
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
Jinming Ma
Feng Wu
Yingfeng Chen
Xianpeng Ji
Yu-qiong Ding
OffRL
25
4
0
18 Feb 2023
Learning passive policies with virtual energy tanks in robotics
R. Zanella
G. Palli
Stefano Stramigioli
Federico Califano
14
3
0
30 Jan 2023
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Kun-Yen Huang
E. Hu
Dinesh Jayaraman
OffRL
26
5
0
17 Dec 2022
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
Nicklas Hansen
Yixin Lin
H. Su
Xiaolong Wang
Vikash Kumar
Aravind Rajeswaran
OffRL
26
49
0
12 Dec 2022
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking
David Zhang
Micah Carroll
Andreea Bobu
Anca Dragan
22
4
0
30 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
23
0
0
23 Nov 2022
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning
Katherine Metcalf
Miguel Sarabia
B. Theobald
OffRL
30
4
0
12 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
23
14
0
27 Oct 2022
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Sridhar Pandian Arunachalam
Irmak Güzey
Soumith Chintala
Lerrel Pinto
32
67
0
12 Oct 2022
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
Aaron M. Roth
Jing Liang
Ram D. Sriram
Elham Tabassi
Dinesh Manocha
24
1
0
19 Sep 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Yuchen Cui
S. Niekum
Abhi Gupta
Vikash Kumar
Aravind Rajeswaran
LM&Ro
19
73
0
23 Apr 2022
On-Robot Learning With Equivariant Models
Dian Wang
Ming Jia
Xu Zhu
Robin G. Walters
Robert W. Platt
OffRL
SSL
28
35
0
09 Mar 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
A General, Evolution-Inspired Reward Function for Social Robotics
Thomas Kingsford
16
0
0
01 Feb 2022
Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation
Federico Malato
Joona Jehkonen
Ville Hautamaki
11
1
0
19 Jan 2022
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Iman Nematollahi
Erick Rosete-Beas
Adrian Rofer
Tim Welschehold
Abhinav Valada
Wolfram Burgard
17
15
0
25 Nov 2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing
X. Tan
Zhikang Liu
Chenxiao Yu
A. Rosendo
12
0
0
15 Nov 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
OffRL
LM&Ro
38
24
0
21 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&Ro
OffRL
23
154
0
02 Sep 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
6
16
0
06 Aug 2021
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning
Jayson G. Boubin
Codi Burley
Peida Han
Bowen Li
Barry Porter
Christopher Stewart
15
3
0
21 May 2021
Robotic Surgery With Lean Reinforcement Learning
Yotam Barnoy
Molly O'Brien
W. Wang
Gregory D. Hager
OffRL
33
20
0
03 May 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
30
136
0
31 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Benjamin Eysenbach
Sergey Levine
Ruslan Salakhutdinov
OffRL
29
50
0
23 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Carmel Rabinovitz
Niko A. Grupen
Aviv Tamar
OOD
SSL
12
3
0
20 Mar 2021
Semi-supervised reward learning for offline reinforcement learning
Ksenia Konyushkova
Konrad Zolna
Y. Aytar
Alexander Novikov
Scott E. Reed
Serkan Cabi
Nando de Freitas
SSL
OffRL
56
23
0
12 Dec 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Zheng Wu
Wenzhao Lian
Vaibhav Unhelkar
M. Tomizuka
S. Schaal
6
37
0
17 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
SSL
OffRL
OnRL
27
103
0
27 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
11
36
0
26 Oct 2020
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
Huixin Zhan
Feng Tao
Yongcan Cao
30
26
0
15 Oct 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Travis Manderson
J. A. G. Higuera
Stefan Wapnick
J. Tremblay
Florian Shkurti
D. Meger
Gregory Dudek
14
50
0
29 Jun 2020
Self-supervised Learning for Precise Pick-and-place without Object Model
Lars Berscheid
Pascal Meissner
Torsten Kröger
SSL
DRL
16
66
0
15 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
27
241
0
15 May 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
26
13
0
05 Mar 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh
Eric Jang
A. Irpan
Daniel Kappler
Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
45
35
0
25 Feb 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
38
156
0
10 Dec 2019
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