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Learning Robot Skills with Temporal Variational Inference

Learning Robot Skills with Temporal Variational Inference

29 June 2020
Tanmay Shankar
Abhinav Gupta
    DRL
    BDL
ArXivPDFHTML

Papers citing "Learning Robot Skills with Temporal Variational Inference"

18 / 18 papers shown
Title
CORD: Generalizable Cooperation via Role Diversity
CORD: Generalizable Cooperation via Role Diversity
Kanefumi Matsuyama
Kefan Su
Jiangxing Wang
Deheng Ye
Zongqing Lu
40
0
0
04 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
57
0
0
23 Oct 2024
RT-H: Action Hierarchies Using Language
RT-H: Action Hierarchies Using Language
Suneel Belkhale
Tianli Ding
Ted Xiao
P. Sermanet
Quon Vuong
Jonathan Tompson
Yevgen Chebotar
Debidatta Dwibedi
Dorsa Sadigh
LM&Ro
34
76
0
04 Mar 2024
Learning Multimodal Latent Dynamics for Human-Robot Interaction
Learning Multimodal Latent Dynamics for Human-Robot Interaction
V. Prasad
Lea Heitlinger
Dorothea Koert
R. Stock-Homburg
Jan Peters
Georgia Chalvatzaki
40
3
0
27 Nov 2023
Distributed Variational Inference for Online Supervised Learning
Distributed Variational Inference for Online Supervised Learning
P. Paritosh
Nikolay Atanasov
Sonia Martinez
35
1
0
05 Sep 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction
Utsav Singh
Vinay P. Namboodiri
31
3
0
07 Apr 2023
Emergency action termination for immediate reaction in hierarchical
  reinforcement learning
Emergency action termination for immediate reaction in hierarchical reinforcement learning
Michal Bortkiewicz
Jakub Lyskawa
Pawel Wawrzyñski
M. Ostaszewski
Artur Grudkowski
Tomasz Trzciñski
16
0
0
11 Nov 2022
Dichotomy of Control: Separating What You Can Control from What You
  Cannot
Dichotomy of Control: Separating What You Can Control from What You Cannot
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
17
42
0
24 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
DIDER: Discovering Interpretable Dynamically Evolving Relations
DIDER: Discovering Interpretable Dynamically Evolving Relations
Enna Sachdeva
Chiho Choi
38
2
0
22 Aug 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill
  Acquisition
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition
Dylan Slack
Yinlam Chow
Bo Dai
Nevan Wichers
OffRL
21
7
0
10 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery
Bayesian Nonparametrics for Offline Skill Discovery
Valentin Villecroze
H. Braviner
Panteha Naderian
Chris J. Maddison
G. Loaiza-Ganem
BDL
OffRL
18
8
0
09 Feb 2022
Accelerating Robotic Reinforcement Learning via Parameterized Action
  Primitives
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
29
90
0
28 Oct 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
Mengjiao Yang
Sergey Levine
Ofir Nachum
OffRL
41
42
0
27 Oct 2021
Hierarchical Skills for Efficient Exploration
Hierarchical Skills for Efficient Exploration
Jonas Gehring
Gabriel Synnaeve
Andreas Krause
Nicolas Usunier
28
40
0
20 Oct 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
60
0
28 Sep 2021
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement
  Learning
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay
Aviral Kumar
Pulkit Agrawal
Sergey Levine
Ofir Nachum
OffRL
OnRL
22
153
0
26 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
27
203
0
04 Oct 2020
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