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Deep Predictive Policy Training using Reinforcement Learning

Deep Predictive Policy Training using Reinforcement Learning

2 March 2017
Ali Ghadirzadeh
A. Maki
Danica Kragic
Mårten Björkman
ArXivPDFHTML

Papers citing "Deep Predictive Policy Training using Reinforcement Learning"

31 / 31 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
48
0
0
24 Feb 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
44
9
0
26 Jul 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
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
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
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
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
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)
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
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
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
Meta-Learning for Multi-objective Reinforcement Learning
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Pablo G. Cámara
OffRL
23
54
0
08 Nov 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
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
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
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
Avi Singh
Larry Yang
Sergey Levine
22
23
0
07 Aug 2017
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