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2402.15025
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Practice Makes Perfect: Planning to Learn Skill Parameter Policies
22 February 2024
Nishanth Kumar
Tom Silver
Willie McClinton
Linfeng Zhao
Stephen Proulx
Tomás Lozano-Pérez
L. Kaelbling
Jennifer Barry
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Papers citing
"Practice Makes Perfect: Planning to Learn Skill Parameter Policies"
22 / 22 papers shown
Title
Robo-Troj: Attacking LLM-based Task Planners
Mohaiminul Al Nahian
Zainab Altaweel
David Reitano
Sabbir Ahmed
Saumitra Lohokare
Shiqi Zhang
Adnan Siraj Rakin
AAML
60
0
0
23 Apr 2025
A Self-Improving Coding Agent
Maxime Robeyns
Martin Szummer
Laurence Aitchison
LLMAG
31
0
0
21 Apr 2025
Learning Long-Horizon Robot Manipulation Skills via Privileged Action
Xiaofeng Mao
Yucheng Xu
Zhaole Sun
Elle Miller
Daniel Layeghi
M. Mistry
64
0
0
24 Feb 2025
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Vincent Hsiao
Mark Roberts
Laura M. Hiatt
George Konidaris
Dana Nau
31
0
0
21 Feb 2025
Bilevel Learning for Bilevel Planning
Bowen Li
Tom Silver
Sebastian A. Scherer
Alexander G. Gray
61
0
0
12 Feb 2025
Equivariant Action Sampling for Reinforcement Learning and Planning
Linfeng Zhao
Owen Howell
Xupeng Zhu
Jung Yeon Park
Zhewen Zhang
Robin Walters
Lawson L. S. Wong
89
2
0
16 Dec 2024
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints
Nishanth Kumar
F. Ramos
Dieter Fox
Caelan Reed Garrett
Tomás Lozano-Pérez
Leslie Pack Kaelbling
Caelan Reed Garrett
LRM
LM&Ro
59
3
0
13 Nov 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
Ondrej Biza
Thomas Weng
Lingfeng Sun
Karl Schmeckpeper
Tarik Kelestemur
Yecheng Jason Ma
Robert C. Platt
Jan Willem van de Meent
Lawson L. S. Wong
OffRL
31
0
0
25 Oct 2024
Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning
Alicia Li
Nishanth Kumar
Tomás Lozano-Pérez
Leslie Kaelbling
OffRL
30
0
0
28 Sep 2024
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization
Benjamin Alt
Claudius Kienle
Darko Katic
Rainer Jäkel
Michael Beetz
41
1
0
13 Sep 2024
Adaptive Language-Guided Abstraction from Contrastive Explanations
Andi Peng
Belinda Z. Li
Ilia Sucholutsky
Nishanth Kumar
Julie A. Shah
Jacob Andreas
Andreea Bobu
OffRL
17
1
0
12 Sep 2024
Composing Option Sequences by Adaptation: Initial Results
Charles A. Meehan
Paul Rademacher
Mark Roberts
Laura M. Hiatt
17
0
0
12 Sep 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
Yixuan Huang
Christopher Agia
Jimmy Wu
Tucker Hermans
Jeannette Bohg
3DPC
41
1
0
27 Aug 2024
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
Aidan Curtis
Nishanth Kumar
Jing Cao
Tomás Lozano-Pérez
Leslie Pack Kaelbling
39
10
0
08 Jun 2024
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Zipeng Fu
Tony Zhao
Chelsea Finn
100
281
0
04 Jan 2024
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Chaoning Zhang
Fachrina Dewi Puspitasari
Sheng Zheng
Chenghao Li
Yu Qiao
...
Caiyan Qin
François Rameau
Lik-Hang Lee
Sung-Ho Bae
Choong Seon Hong
VLM
76
61
0
12 May 2023
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks
Kuan Fang
Toki Migimatsu
Ajay Mandlekar
Li Fei-Fei
Jeannette Bohg
38
2
0
11 Nov 2022
Efficient Recovery Learning using Model Predictive Meta-Reasoning
Shivam Vats
Maxim Likhachev
Oliver Kroemer
LRM
39
5
0
27 Sep 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
45
29
0
17 May 2022
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany
Huihan Liu
Yuke Zhu
80
107
0
07 Oct 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
Abhishek Gupta
Justin Yu
Tony Zhao
Vikash Kumar
Aaron Rovinsky
Kelvin Xu
Thomas Devlin
Sergey Levine
OffRL
69
94
0
22 Apr 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
132
451
0
10 Mar 2020
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