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Environment Probing Interaction Policies

Environment Probing Interaction Policies

26 July 2019
Wenxuan Zhou
Lerrel Pinto
Abhinav Gupta
ArXivPDFHTML

Papers citing "Environment Probing Interaction Policies"

19 / 19 papers shown
Title
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific
  Learning Rate
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan Luo
Zuolin Tu
Zefang Huang
Yang Yu
OffRL
34
0
0
24 May 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Chenjia Bai
Jingwen Yang
Zongqing Lu
Xiu Li
30
8
0
24 May 2024
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Giving Feedback on Interactive Student Programs with Meta-Exploration
Giving Feedback on Interactive Student Programs with Meta-Exploration
E. Liu
Moritz Stephan
Allen Nie
Chris Piech
Emma Brunskill
Chelsea Finn
AI4Ed
30
8
0
16 Nov 2022
Legged Locomotion in Challenging Terrains using Egocentric Vision
Legged Locomotion in Challenging Terrains using Egocentric Vision
Ananye Agarwal
Ashish Kumar
Jitendra Malik
Deepak Pathak
17
204
0
14 Nov 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and
  Locomotion
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Zipeng Fu
Xuxin Cheng
Deepak Pathak
19
144
0
18 Oct 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
Wenxuan Zhou
Steven Bohez
Jan Humplik
A. Abdolmaleki
Dushyant Rao
Markus Wulfmeier
Tuomas Haarnoja
N. Heess
OffRL
32
6
0
12 Apr 2022
Context is Everything: Implicit Identification for Dynamics Adaptation
Context is Everything: Implicit Identification for Dynamics Adaptation
Ben Evans
Abitha Thankaraj
Lerrel Pinto
37
20
0
10 Mar 2022
Coupling Vision and Proprioception for Navigation of Legged Robots
Coupling Vision and Proprioception for Navigation of Legged Robots
Zipeng Fu
Ashish Kumar
Ananye Agarwal
Haozhi Qi
Jitendra Malik
Deepak Pathak
21
72
0
03 Dec 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
23
0
05 Oct 2021
RMA: Rapid Motor Adaptation for Legged Robots
RMA: Rapid Motor Adaptation for Legged Robots
Ashish Kumar
Zipeng Fu
Deepak Pathak
Jitendra Malik
18
548
0
08 Jul 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
Prithvijit Chattopadhyay
Judy Hoffman
Roozbeh Mottaghi
Aniruddha Kembhavi
20
55
0
08 Jun 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach
  based on Contrastive Learning
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
Haotian Fu
Hongyao Tang
Jianye Hao
C. L. P. Chen
Xidong Feng
Dong Li
Wulong Liu
OffRL
27
51
0
29 Sep 2020
Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
35
124
0
14 May 2020
DensePhysNet: Learning Dense Physical Object Representations via
  Multi-step Dynamic Interactions
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Zhenjia Xu
Jiajun Wu
Andy Zeng
J. Tenenbaum
Shuran Song
AI4CE
13
111
0
10 Jun 2019
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based
  Character Skills
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
175
495
0
08 Apr 2018
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
229
809
0
13 Nov 2016
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