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IRIS: Implicit Reinforcement without Interaction at Scale for Learning
  Control from Offline Robot Manipulation Data

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

13 November 2019
Ajay Mandlekar
Fabio Ramos
Byron Boots
Silvio Savarese
Li Fei-Fei
Animesh Garg
D. Fox
    OffRL
ArXivPDFHTML

Papers citing "IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data"

23 / 23 papers shown
Title
Latent Adaptive Planner for Dynamic Manipulation
Latent Adaptive Planner for Dynamic Manipulation
Donghun Noh
Deqian Kong
Minglu Zhao
Andrew Lizarraga
Jianwen Xie
Ying Nian Wu
Dennis W. Hong
122
0
0
06 May 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
Tan Shu
Li Shen
44
0
0
04 Apr 2025
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
Krishan Rana
Robert Lee
David Pershouse
Niko Suenderhauf
VGen
51
0
0
17 Feb 2025
DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment
DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment
Wendi Chen
Han Xue
Fangyuan Zhou
Yuan Fang
Cewu Lu
39
1
0
15 Oct 2024
Adaptive Environment-Aware Robotic Arm Reaching Based on a Bio-Inspired
  Neurodynamical Computational Framework
Adaptive Environment-Aware Robotic Arm Reaching Based on a Bio-Inspired Neurodynamical Computational Framework
Dimitrios Chatziparaschis
Shan Zhong
Vasileios Christopoulos
Konstantinos Karydis
20
0
0
16 Jul 2024
UniZero: Generalized and Efficient Planning with Scalable Latent World Models
UniZero: Generalized and Efficient Planning with Scalable Latent World Models
Yuan Pu
Yazhe Niu
Jiyuan Ren
Zhenjie Yang
Hongsheng Li
Yu Liu
OffRL
41
1
0
15 Jun 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Qi Lv
Xiang Deng
Gongwei Chen
Michael Yu Wang
Liqiang Nie
75
7
0
08 Jun 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Junghyuk Yeom
Yonghyeon Jo
Jungmo Kim
Sanghyeon Lee
Seungyul Han
OffRL
40
2
0
23 May 2024
Learning Excavation of Rigid Objects with Offline Reinforcement Learning
Learning Excavation of Rigid Objects with Offline Reinforcement Learning
Shiyu Jin
Zhixian Ye
Liangjun Zhang
OffRL
16
7
0
29 Mar 2023
Offline Reinforcement Learning for Visual Navigation
Offline Reinforcement Learning for Visual Navigation
Dhruv Shah
Arjun Bhorkar
Hrish Leen
Ilya Kostrikov
Nicholas Rhinehart
Sergey Levine
OffRL
14
29
0
16 Dec 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
40
58
0
18 Oct 2022
BITS: Bi-level Imitation for Traffic Simulation
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
Yuxiao Chen
B. Ivanovic
Marco Pavone
28
80
0
26 Aug 2022
Efficient Planning in a Compact Latent Action Space
Efficient Planning in a Compact Latent Action Space
Zhengyao Jiang
Tianjun Zhang
Michael Janner
Yueying Li
Tim Rocktaschel
Edward Grefenstette
Yuandong Tian
OffRL
16
36
0
22 Aug 2022
Chain of Thought Imitation with Procedure Cloning
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
30
29
0
22 May 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task
  Reinforcement Learning
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
Abhishek Gupta
Corey Lynch
Brandon Kinman
Garrett Peake
Sergey Levine
Karol Hausman
OffRL
19
17
0
29 Mar 2022
Guided Imitation of Task and Motion Planning
Guided Imitation of Task and Motion Planning
M. McDonald
Dylan Hadfield-Menell
77
20
0
06 Dec 2021
Bottom-Up Skill Discovery from Unsegmented Demonstrations for
  Long-Horizon Robot Manipulation
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation
Yifeng Zhu
Peter Stone
Yuke Zhu
45
59
0
28 Sep 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong
  Robotic Manipulation
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation
Jacky Liang
Mohit Sharma
A. LaGrassa
Shivam Vats
Saumya Saxena
Oliver Kroemer
64
31
0
17 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
24
78
0
16 Sep 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
D. Fox
3DPC
DRL
16
27
0
04 Jul 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement
  Learning
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
24
104
0
10 Mar 2021
Learning Composable Behavior Embeddings for Long-horizon Visual
  Navigation
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation
Xiangyun Meng
Yu Xiang
D. Fox
21
3
0
19 Feb 2021
COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning
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
32
103
0
27 Oct 2020
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