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Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in
  Latent Space

Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space

17 May 2022
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
    OffRL
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Papers citing "Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space"

25 / 25 papers shown
Title
Efficient Robotic Policy Learning via Latent Space Backward Planning
Efficient Robotic Policy Learning via Latent Space Backward Planning
Dongxiu Liu
Haoyi Niu
Zhihao Wang
Jinliang Zheng
Yinan Zheng
Zhonghong Ou
Jianming Hu
Jianxiong Li
Xianyuan Zhan
28
0
0
11 May 2025
Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation
Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation
Jiaming Chen
Wentao Zhao
Ziyu Meng
Donghui Mao
Ran Song
Wei Pan
Wei Zhang
33
0
0
07 Apr 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers
Bill Chunyuan Zheng
Anca Dragan
Kuan Fang
Sergey Levine
65
0
0
08 Feb 2025
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
Gavin B. Rens
43
0
0
03 Jan 2025
STEER: Flexible Robotic Manipulation via Dense Language Grounding
STEER: Flexible Robotic Manipulation via Dense Language Grounding
Laura Smith
A. Irpan
Montserrat Gonzalez Arenas
Sean Kirmani
Dmitry Kalashnikov
Dhruv Shah
Ted Xiao
LLMSV
39
1
0
05 Nov 2024
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
Kyle Hatch
Ashwin Balakrishna
Oier Mees
Suraj Nair
Seohong Park
...
Masha Itkina
Benjamin Eysenbach
Sergey Levine
Thomas Kollar
Benjamin Burchfiel
62
2
0
26 Oct 2024
OGBench: Benchmarking Offline Goal-Conditioned RL
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
50
8
0
26 Oct 2024
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
Hossein Abdi
Mingfei Sun
Andi Zhang
Samuel Kaski
Wei Pan
25
0
0
15 Oct 2024
Unsupervised-to-Online Reinforcement Learning
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
53
3
0
27 Aug 2024
Offline Policy Learning via Skill-step Abstraction for Long-horizon
  Goal-Conditioned Tasks
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
Donghoon Kim
Minjong Yoo
Honguk Woo
OffRL
19
0
0
21 Aug 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
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
Wentao Zhao
Jiaming Chen
Ziyu Meng
Donghui Mao
Ran Song
Wei Zhang
43
8
0
13 Jul 2024
Subgoal Diffuser: Coarse-to-fine Subgoal Generation to Guide Model
  Predictive Control for Robot Manipulation
Subgoal Diffuser: Coarse-to-fine Subgoal Generation to Guide Model Predictive Control for Robot Manipulation
Zixuan Huang
Yating Lin
Fan Yang
Dmitry Berenson
43
4
0
19 Mar 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies
Practice Makes Perfect: Planning to Learn Skill Parameter Policies
Nishanth Kumar
Tom Silver
Willie McClinton
Linfeng Zhao
Stephen Proulx
Tomás Lozano-Pérez
L. Kaelbling
Jennifer Barry
55
18
0
22 Feb 2024
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse
  Reward
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward
Fangyuan Wang
Anqing Duan
Peng Zhou
Shengzeng Huo
Guodong Guo
Chenguang Yang
D. Navarro-Alarcon
OffRL
VLM
33
0
0
25 Dec 2023
Contrastive Difference Predictive Coding
Contrastive Difference Predictive Coding
Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TS
OffRL
28
11
0
31 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Zichen Zhang
Yunshuang Li
Osbert Bastani
Abhishek Gupta
Dinesh Jayaraman
Yecheng Jason Ma
Luca Weihs
37
17
0
12 Oct 2023
Pre-Training and Fine-Tuning Generative Flow Networks
Pre-Training and Fine-Tuning Generative Flow Networks
Ling Pan
Moksh Jain
Kanika Madan
Yoshua Bengio
47
13
0
05 Oct 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Seohong Park
Dibya Ghosh
Benjamin Eysenbach
Sergey Levine
OffRL
30
44
0
22 Jul 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from
  Offline Data
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng
Benjamin Eysenbach
Homer Walke
Patrick Yin
Kuan Fang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
36
4
0
06 Jun 2023
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale
Botao Hao
Rahul Jain
Dengwang Tang
Zheng Wen
OffRL
26
3
0
20 Mar 2023
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
31
22
0
12 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
30
81
0
19 Sep 2022
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at
  Scale
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Yao Lu
Karol Hausman
Yevgen Chebotar
Mengyuan Yan
Eric Jang
...
Ted Xiao
A. Irpan
Mohi Khansari
Dmitry Kalashnikov
Sergey Levine
OffRL
89
59
0
09 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
843
0
12 Oct 2021
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