Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1703.00727
Cited By
Deep Predictive Policy Training using Reinforcement Learning
2 March 2017
Ali Ghadirzadeh
A. Maki
Danica Kragic
Mårten Björkman
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Predictive Policy Training using Reinforcement Learning"
32 / 32 papers shown
Title
Design of a low-cost and lightweight 6 DoF bimanual arm for dynamic and contact-rich manipulation
Jaehyung Kim
Jiho Kim
Dongryung Lee
Yujin Jang
Beomjoon Kim
50
0
0
24 Feb 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng Xu
60
14
0
20 Feb 2025
Whole-Body Dynamic Throwing with Legged Manipulators
Humphrey Munn
Brendan Tidd
Peter Böhm
M. Gallagher
David Howard
50
1
0
08 Oct 2024
Improving Soft-Capture Phase Success in Space Debris Removal Missions: Leveraging Deep Reinforcement Learning and Tactile Feedback
Bahador Beigomi
Zheng H. Zhu
37
0
0
18 Sep 2024
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
59
17
0
02 Mar 2023
Throwing Objects into A Moving Basket While Avoiding Obstacles
Hamidreza Kasaei
Mohammadreza Kasaei
40
5
0
02 Oct 2022
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot
Yandong Ji
Zhongyu Li
Yinan Sun
Xue Bin Peng
Sergey Levine
Glen Berseth
Koushil Sreenath
39
63
0
01 Aug 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen
Tianhao Wu
Shengjie Wang
Xidong Feng
Jiechuan Jiang
...
Yiran Geng
Hao Dong
Zongqing Lu
Song-Chun Zhu
Yaodong Yang
OffRL
51
110
0
17 Jun 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
24
1
0
18 Apr 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
60
26
0
17 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
32
1
0
10 Dec 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
47
24
0
21 Sep 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
27
27
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
27
31
0
21 Jul 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
39
41
0
05 Mar 2021
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
16
520
0
04 Feb 2021
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
Baichuan Huang
Shuai D. Han
Abdeslam Boularias
Jingjin Yu
AI4CE
24
61
0
09 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
32
36
0
26 Oct 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
46
9
0
26 Jul 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
33
43
0
21 Apr 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning
Kei Kase
Chris Paxton
H. Mazhar
T. Ogata
Dieter Fox
147
45
0
08 Mar 2020
Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Patric Jensfelt
27
13
0
17 Sep 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
Andy Zeng
Shuran Song
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
37
376
0
27 Mar 2019
Affordance Learning for End-to-End Visuomotor Robot Control
Aleksi Hämäläinen
Karol Arndt
Ali Ghadirzadeh
Ville Kyrki
38
48
0
10 Mar 2019
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal Rolínek
Dominik Zietlow
Georg Martius
OOD
DRL
29
150
0
17 Dec 2018
Learning Actionable Representations with Goal-Conditioned Policies
Dibya Ghosh
Abhishek Gupta
Sergey Levine
32
109
0
19 Nov 2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Eric Jang
Coline Devin
Vincent Vanhoucke
Sergey Levine
SSL
29
112
0
16 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Pablo G. Cámara
OffRL
23
54
0
08 Nov 2018
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments
Xi Chen
Ali Ghadirzadeh
John Folkesson
Patric Jensfelt
22
44
0
27 Apr 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
30
230
0
19 Mar 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Zhang-Wei Hong
Yu-Ming Chen
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
...
Yueh-Chuan Chang
Tsu-Ching Hsiao
Hsin-Wei Hsiao
Sih-Pin Lai
Chun-Yi Lee
35
81
0
01 Feb 2018
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
Avi Singh
Larry Yang
Sergey Levine
22
23
0
07 Aug 2017
1