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COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

27 October 2020
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
    SSL
    OffRL
    OnRL
ArXivPDFHTML

Papers citing "COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning"

50 / 79 papers shown
Title
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
Xuyang Chen
Keyu Yan
Lin Zhao
OffRL
51
0
0
08 May 2025
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Wenjun Cao
41
0
0
26 Apr 2025
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
Xuyang Chen
Guojian Wang
Keyu Yan
Lin Zhao
OffRL
35
1
0
16 Apr 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgul
Manuel Haußmann
M. Kandemir
OffRL
66
1
0
17 Jan 2025
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement
  Learning
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
OffRL
OnRL
31
0
0
31 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Bryan Chan
Anson Leung
James Bergstra
OffRL
OnRL
52
0
0
19 Oct 2024
COSBO: Conservative Offline Simulation-Based Policy Optimization
COSBO: Conservative Offline Simulation-Based Policy Optimization
E. Kargar
Ville Kyrki
OffRL
18
0
0
22 Sep 2024
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
Jesse van Remmerden
Z. Bukhsh
Yingqian Zhang
OffRL
OnRL
39
1
0
16 Sep 2024
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
Rafael Rafailov
Kyle Hatch
Anikait Singh
Laura Smith
Aviral Kumar
...
Victor Kolev
Philip J. Ball
Jiajun Wu
Chelsea Finn
Sergey Levine
OffRL
34
3
0
15 Aug 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan
Jingling Li
Adith Swaminathan
Aditya Modi
Ching-An Cheng
OffRL
70
0
0
14 Aug 2024
Augmenting Offline RL with Unlabeled Data
Augmenting Offline RL with Unlabeled Data
Zhao Wang
Briti Gangopadhyay
Jia-Fong Yeh
Shingo Takamatsu
OffRL
26
0
0
11 Jun 2024
State-Constrained Offline Reinforcement Learning
State-Constrained Offline Reinforcement Learning
Charles A. Hepburn
Yue Jin
Giovanni Montana
OffRL
29
0
0
23 May 2024
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement
  Learning
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Dhruva Tirumala
Markus Wulfmeier
Ben Moran
Sandy Huang
Jan Humplik
...
Kushal Patel
Marlon Gwira
Francesco Nori
Martin Riedmiller
N. Heess
30
10
0
03 May 2024
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Calarina Muslimani
M. E. Taylor
OffRL
38
2
0
30 Apr 2024
Enhancing Reinforcement Learning Agents with Local Guides
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi
Bogdan Robu
Christophe Prieur
Ludovic Dos Santos
M. Barlier
OnRL
26
3
0
21 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport
Align Your Intents: Offline Imitation Learning via Optimal Transport
Maksim Bobrin
N. Buzun
Dmitrii Krylov
Dmitry V. Dylov
OffRL
41
3
0
20 Feb 2024
Replay across Experiments: A Natural Extension of Off-Policy RL
Replay across Experiments: A Natural Extension of Off-Policy RL
Dhruva Tirumala
Thomas Lampe
José Enrique Chen
Tuomas Haarnoja
Sandy Huang
...
Tim Hertweck
Leonard Hasenclever
Martin Riedmiller
N. Heess
Markus Wulfmeier
OffRL
32
8
0
27 Nov 2023
Accelerating Exploration with Unlabeled Prior Data
Accelerating Exploration with Unlabeled Prior Data
Qiyang Li
Jason Zhang
Dibya Ghosh
Amy Zhang
Sergey Levine
OffRL
OnRL
24
9
0
09 Nov 2023
Free from Bellman Completeness: Trajectory Stitching via Model-based
  Return-conditioned Supervised Learning
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou
Chuning Zhu
Runlong Zhou
Qiwen Cui
Abhishek Gupta
S. S. Du
OffRL
33
8
0
30 Oct 2023
Hybrid Search for Efficient Planning with Completeness Guarantees
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää
J. Pajarinen
Alexander Ilin
17
3
0
19 Oct 2023
Distill Knowledge in Multi-task Reinforcement Learning with
  Optimal-Transport Regularization
Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization
Bang Giang Le
Viet-Cuong Ta
OT
27
1
0
27 Sep 2023
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
Chethan Bhateja
Derek Guo
Dibya Ghosh
Anika Singh
Manan Tomar
Q. Vuong
Yevgen Chebotar
Sergey Levine
Aviral Kumar
OffRL
34
20
0
22 Sep 2023
Bootstrapping Adaptive Human-Machine Interfaces with Offline
  Reinforcement Learning
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning
Jensen Gao
S. Reddy
Glen Berseth
Anca Dragan
Sergey Levine
OffRL
12
0
0
07 Sep 2023
BridgeData V2: A Dataset for Robot Learning at Scale
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Walke
Kevin Black
Abraham Lee
Moo Jin Kim
Maximilian Du
...
Andre Wang He
Vivek Myers
Kuan Fang
Chelsea Finn
Sergey Levine
29
204
0
24 Aug 2023
Contrastive Example-Based Control
Contrastive Example-Based Control
Kyle Hatch
Benjamin Eysenbach
Rafael Rafailov
Tianhe Yu
Ruslan Salakhutdinov
Sergey Levine
Chelsea Finn
OffRL
23
4
0
24 Jul 2023
Learning to Solve Tasks with Exploring Prior Behaviours
Learning to Solve Tasks with Exploring Prior Behaviours
Ruiqi Zhu
Siyuan Li
Tianhong Dai
Chongjie Zhang
Oya Celiktutan
15
3
0
06 Jul 2023
Offline Skill Graph (OSG): A Framework for Learning and Planning using
  Offline Reinforcement Learning Skills
Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills
Ben-ya Halevy
Y. Aperstein
Dotan Di Castro
GP
OffRL
25
1
0
23 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
31
16
0
20 Jun 2023
Survival Instinct in Offline Reinforcement Learning
Survival Instinct in Offline Reinforcement Learning
Anqi Li
Dipendra Kumar Misra
Andrey Kolobov
Ching-An Cheng
OffRL
16
15
0
05 Jun 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of
  Mobile Manipulators
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
Alexander Herzog
Kanishka Rao
Karol Hausman
Yao Lu
Paul Wohlhart
...
Noah Brown
Mrinal Kalakrishnan
Julian Ibarz
P. Pastor
Sergey Levine
OffRL
33
23
0
05 May 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning
  from Observations
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li
Byron Boots
Ching-An Cheng
OffRL
26
16
0
30 Mar 2023
PLEX: Making the Most of the Available Data for Robotic Manipulation
  Pretraining
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
G. Thomas
Ching-An Cheng
Ricky Loynd
Felipe Vieira Frujeri
Vibhav Vineet
Mihai Jalobeanu
Andrey Kolobov
SSL
21
8
0
15 Mar 2023
Chat with the Environment: Interactive Multimodal Perception Using Large
  Language Models
Chat with the Environment: Interactive Multimodal Perception Using Large Language Models
Xufeng Zhao
Mengdi Li
C. Weber
Muhammad Burhan Hafez
S. Wermter
LLMAG
LM&Ro
LRM
102
47
0
14 Mar 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online
  Fine-Tuning
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto
Yuexiang Zhai
Anika Singh
Max Sobol Mark
Yi-An Ma
Chelsea Finn
Aviral Kumar
Sergey Levine
OffRL
OnRL
109
108
0
09 Mar 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning
Learning to Influence Human Behavior with Offline Reinforcement Learning
Joey Hong
Sergey Levine
Anca Dragan
OffRL
AI4CE
19
0
0
03 Mar 2023
The Provable Benefits of Unsupervised Data Sharing for Offline
  Reinforcement Learning
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning
Haotian Hu
Yiqin Yang
Qianchuan Zhao
Chongjie Zhang
OffRL
11
4
0
27 Feb 2023
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline
  Reinforcement Learning Settings
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings
Sudhir Pratap Yadav
R. Nagar
S. Shah
OffRL
11
3
0
31 Jan 2023
Hierarchical Imitation Learning with Vector Quantized Models
Hierarchical Imitation Learning with Vector Quantized Models
Kalle Kujanpää
J. Pajarinen
Alexander Ilin
9
12
0
30 Jan 2023
Model-based Offline Reinforcement Learning with Local Misspecification
Model-based Offline Reinforcement Learning with Local Misspecification
Kefan Dong
Yannis Flet-Berliac
Allen Nie
Emma Brunskill
OffRL
13
4
0
26 Jan 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
8
29
0
16 Dec 2022
Flow to Control: Offline Reinforcement Learning with Lossless Primitive
  Discovery
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
Yiqin Yang
Haotian Hu
Wenzhe Li
Siyuan Li
Jun Yang
Qianchuan Zhao
Chongjie Zhang
OffRL
26
9
0
02 Dec 2022
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning
  During Deployment
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu
Soroush Nasiriany
Lance Zhang
Zhiyao Bao
Yuke Zhu
27
55
0
15 Nov 2022
Offline RL With Realistic Datasets: Heteroskedasticity and Support
  Constraints
Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints
Anika Singh
Aviral Kumar
Q. Vuong
Yevgen Chebotar
Sergey Levine
OffRL
19
14
0
02 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
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
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online
  Reinforcement Learning
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Yi Zhao
Rinu Boney
Alexander Ilin
Juho Kannala
J. Pajarinen
OffRL
OnRL
16
39
0
25 Oct 2022
Learning and Retrieval from Prior Data for Skill-based Imitation
  Learning
Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Soroush Nasiriany
Tian Gao
Ajay Mandlekar
Yuke Zhu
SSL
39
47
0
20 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning
  with Demonstrations
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations
Kai Yan
A. Schwing
Yu-xiong Wang
OffRL
26
2
0
18 Oct 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for
  Learning Visuomotor Tasks
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Kuan Fang
Patrick Yin
Ashvin Nair
Homer Walke
Ge Yan
Sergey Levine
OffRL
22
22
0
12 Oct 2022
Real World Offline Reinforcement Learning with Realistic Data Source
Real World Offline Reinforcement Learning with Realistic Data Source
G. Zhou
Liyiming Ke
S. Srinivasa
Abhi Gupta
Aravind Rajeswaran
Vikash Kumar
OffRL
32
21
0
12 Oct 2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a
  Handful of Trials
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar
Anika Singh
F. Ebert
Mitsuhiko Nakamoto
Yanlai Yang
Chelsea Finn
Sergey Levine
OffRL
OnRL
123
66
0
11 Oct 2022
12
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