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Robust Imitation of Diverse Behaviors

Robust Imitation of Diverse Behaviors

10 July 2017
Ziyun Wang
J. Merel
Scott E. Reed
Greg Wayne
Nando de Freitas
N. Heess
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Papers citing "Robust Imitation of Diverse Behaviors"

28 / 28 papers shown
Title
Offline Learning of Controllable Diverse Behaviors
Offline Learning of Controllable Diverse Behaviors
Mathieu Petitbois
Rémy Portelas
Sylvain Lamprier
Ludovic Denoyer
OffRL
34
0
0
25 Apr 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
Tan Shu
Li Shen
44
0
0
04 Apr 2025
Consistency Matters: Defining Demonstration Data Quality Metrics in Robot Learning from Demonstration
Consistency Matters: Defining Demonstration Data Quality Metrics in Robot Learning from Demonstration
Maram Sakr
H. F. M. V. D. Loos
Dana Kulić
Elizabeth A. Croft
78
0
0
18 Dec 2024
Policy Contrastive Imitation Learning
Policy Contrastive Imitation Learning
Jialei Huang
Zhao-Heng Yin
Yingdong Hu
Yang Gao
27
3
0
06 Jul 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by
  Spatially-Aligned Temporal Encoding
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding
Takeru Oba
Norimichi Ukita
21
3
0
10 Feb 2023
Diverse Imitation Learning via Self-Organizing Generative Models
Diverse Imitation Learning via Self-Organizing Generative Models
Arash Vahabpour
Tianyi Wang
Qiujing Lu
Omead Brandon Pooladzandi
V. Roychowdhury
SSL
18
1
0
06 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically
  Simulated Characters
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
Xue Bin Peng
Yunrong Guo
L. Halper
Sergey Levine
Sanja Fidler
23
15
0
04 May 2022
Imitation Learning from Observations under Transition Model Disparity
Imitation Learning from Observations under Transition Model Disparity
Tanmay Gangwani
Yuanfei Zhou
Jian-wei Peng
22
12
0
25 Apr 2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From
  Human and Animal Behaviors
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
Steven Bohez
S. Tunyasuvunakool
Philemon Brakel
Fereshteh Sadeghi
Leonard Hasenclever
...
Nathan Batchelor
Federico Casarini
J. Merel
R. Hadsell
N. Heess
25
50
0
31 Mar 2022
Adversarial Motion Priors Make Good Substitutes for Complex Reward
  Functions
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
Alejandro Escontrela
Xue Bin Peng
Wenhao Yu
Tingnan Zhang
Atil Iscen
Ken Goldberg
Pieter Abbeel
9
112
0
28 Mar 2022
Learning Category-Level Generalizable Object Manipulation Policy via
  Generative Adversarial Self-Imitation Learning from Demonstrations
Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations
Hao Shen
Weikang Wan
He-Nan Wang
SSL
27
24
0
04 Mar 2022
Deep reinforcement learning for guidewire navigation in coronary artery
  phantom
Deep reinforcement learning for guidewire navigation in coronary artery phantom
Jihoon Kweon
Kyunghwan Kim
Chaehyuk Lee
Hwi Kwon
Jinwoo Park
...
Inwook Back
J. Roh
Y. Moon
Jaesoon Choi
Young-Hak Kim
OnRL
11
33
0
05 Oct 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Chen Wang
Claudia Pérez-DÁrpino
Danfei Xu
Li Fei-Fei
C. Karen Liu
Silvio Savarese
42
33
0
13 Aug 2021
Task Programming: Learning Data Efficient Behavior Representations
Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun
Ann Kennedy
Eric Zhan
David J. Anderson
Yisong Yue
Pietro Perona
26
48
0
27 Nov 2020
Residual Force Control for Agile Human Behavior Imitation and Extended
  Motion Synthesis
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan
Kris M. Kitani
23
73
0
12 Jun 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative
  Adversarial Nets
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Cong Fei
Bin Wang
Yuzheng Zhuang
Zongzhang Zhang
Jianye Hao
Hongbo Zhang
Xuewu Ji
Wulong Liu
19
25
0
19 May 2020
Meta-learning of Sequential Strategies
Meta-learning of Sequential Strategies
Pedro A. Ortega
Jane X. Wang
Mark Rowland
Tim Genewein
Z. Kurth-Nelson
...
Yee Whye Teh
H. V. Hasselt
Nando de Freitas
M. Botvinick
Shane Legg
OffRL
19
96
0
08 May 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed
  Behaviors
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors
Fang-I Hsiao
Jui-Hsuan Kuo
Min Sun
OffRL
11
14
0
25 Mar 2019
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
27
256
0
09 Sep 2018
Learning Policy Representations in Multiagent Systems
Learning Policy Representations in Multiagent Systems
Aditya Grover
Maruan Al-Shedivat
Jayesh K. Gupta
Yuri Burda
Harrison Edwards
AI4CE
26
123
0
17 Jun 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning
Multi-task Maximum Entropy Inverse Reinforcement Learning
Adam Gleave
Oliver Habryka
24
39
0
22 May 2018
Maximum Causal Tsallis Entropy Imitation Learning
Maximum Causal Tsallis Entropy Imitation Learning
Kyungjae Lee
Sungjoon Choi
Songhwai Oh
OOD
15
19
0
22 May 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
25
88
0
20 Mar 2018
Feedback Control For Cassie With Deep Reinforcement Learning
Feedback Control For Cassie With Deep Reinforcement Learning
Zhaoming Xie
Glen Berseth
Patrick Clary
J. Hurst
M. van de Panne
25
174
0
15 Mar 2018
Machine Theory of Mind
Machine Theory of Mind
Neil C. Rabinowitz
Frank Perbet
H. F. Song
Chiyuan Zhang
S. M. Ali Eslami
M. Botvinick
AI4CE
36
466
0
21 Feb 2018
DDCO: Discovery of Deep Continuous Options for Robot Learning from
  Demonstrations
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
S. Krishnan
Roy Fox
Ion Stoica
Ken Goldberg
16
81
0
15 Oct 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning
Burn-In Demonstrations for Multi-Modal Imitation Learning
Alex Kuefler
Mykel J. Kochenderfer
19
24
0
13 Oct 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
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