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Behavioral Cloning from Observation

Behavioral Cloning from Observation

4 May 2018
F. Torabi
Garrett A. Warnell
Peter Stone
    OffRL
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Papers citing "Behavioral Cloning from Observation"

50 / 416 papers shown
Title
GraphOpt: Learning Optimization Models of Graph Formation
GraphOpt: Learning Optimization Models of Graph Formation
Rakshit S. Trivedi
Jiachen Yang
H. Zha
OffRL
22
17
0
07 Jul 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical
  Predictors
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch
Oleh Rybkin
F. Ebert
Chelsea Finn
Dinesh Jayaraman
Sergey Levine
25
72
0
23 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation
Reparameterized Variational Divergence Minimization for Stable Imitation
Dilip Arumugam
Debadeepta Dey
Alekh Agarwal
Asli Celikyilmaz
E. Nouri
W. Dolan
33
3
0
18 Jun 2020
Semantic Visual Navigation by Watching YouTube Videos
Semantic Visual Navigation by Watching YouTube Videos
Matthew Chang
Arjun Gupta
Saurabh Gupta
14
80
0
17 Jun 2020
Provably Efficient Model-based Policy Adaptation
Provably Efficient Model-based Policy Adaptation
Yuda Song
Aditi Mavalankar
Wen Sun
Sicun Gao
TTA
OffRL
22
9
0
14 Jun 2020
Self-Supervised Reinforcement Learning for Recommender Systems
Self-Supervised Reinforcement Learning for Recommender Systems
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
SSL
OffRL
32
198
0
10 Jun 2020
Primal Wasserstein Imitation Learning
Primal Wasserstein Imitation Learning
Robert Dadashi
Léonard Hussenot
M. Geist
Olivier Pietquin
26
124
0
08 Jun 2020
PLANS: Robust Program Learning from Neurally Inferred Specifications
PLANS: Robust Program Learning from Neurally Inferred Specifications
Raphaël Dang-Nhu
22
2
0
05 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure
Sungho Choi
Seungyul Han
Woojun Kim
Y. Sung
24
2
0
02 Jun 2020
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
A. Tanwani
P. Sermanet
Andy Yan
Raghav V. Anand
Mariano Phielipp
Ken Goldberg
SSL
32
36
0
31 May 2020
Towards intervention-centric causal reasoning in learning agents
Towards intervention-centric causal reasoning in learning agents
B. Lansdell
LRM
CML
16
0
0
26 May 2020
Augmented Behavioral Cloning from Observation
Augmented Behavioral Cloning from Observation
Juarez Monteiro
Nathan Gavenski
R. Granada
Felipe Meneguzzi
Rodrigo C. Barros
29
12
0
28 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation
State-Only Imitation Learning for Dexterous Manipulation
Ilija Radosavovic
Xiaolong Wang
Lerrel Pinto
Jitendra Malik
OffRL
19
122
0
07 Apr 2020
Efficiently Guiding Imitation Learning Agents with Human Gaze
Efficiently Guiding Imitation Learning Agents with Human Gaze
Akanksha Saran
Ruohan Zhang
Elaine Schaertl Short
S. Niekum
10
16
0
28 Feb 2020
Provably Efficient Third-Person Imitation from Offline Observation
Provably Efficient Third-Person Imitation from Offline Observation
Aaron Zweig
Joan Bruna
OffRL
14
2
0
27 Feb 2020
State-only Imitation with Transition Dynamics Mismatch
State-only Imitation with Transition Dynamics Mismatch
Tanmay Gangwani
Jian Peng
28
50
0
27 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level
  Optimization
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora
S. Du
Sham Kakade
Yuping Luo
Nikunj Saunshi
23
60
0
24 Feb 2020
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot
  Locomotion
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion
Siddhant Gangapurwala
Alexander L. Mitchell
Ioannis Havoutis
27
54
0
22 Feb 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Ashley D. Edwards
Himanshu Sahni
Rosanne Liu
Jane Hung
Ankit Jain
Rui Wang
Adrien Ecoffet
Thomas Miconi
Charles Isbell
J. Yosinski
OffRL
24
18
0
21 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from
  Preferences
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown
Russell Coleman
R. Srinivasan
S. Niekum
BDL
35
101
0
21 Feb 2020
Reinforcement Learning with Probabilistically Complete Exploration
Reinforcement Learning with Probabilistically Complete Exploration
Philippe Morere
Gilad Francis
Tom Blau
Fabio Ramos
OffRL
20
7
0
20 Jan 2020
Learning Predictive Models From Observation and Interaction
Learning Predictive Models From Observation and Interaction
Karl Schmeckpeper
Annie Xie
Oleh Rybkin
Stephen Tian
Kostas Daniilidis
Sergey Levine
Chelsea Finn
DRL
33
60
0
30 Dec 2019
Relational Mimic for Visual Adversarial Imitation Learning
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé
Yichuan Tang
Jian Zhang
Russ Webb
36
0
0
18 Dec 2019
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable
  Environments
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
Glen Berseth
Daniel Geng
Coline Devin
Nicholas Rhinehart
Chelsea Finn
Dinesh Jayaraman
Sergey Levine
21
22
0
11 Dec 2019
Deep Bayesian Reward Learning from Preferences
Deep Bayesian Reward Learning from Preferences
Daniel S. Brown
S. Niekum
BDL
14
34
0
10 Dec 2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human
  Videos
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
41
156
0
10 Dec 2019
State Alignment-based Imitation Learning
State Alignment-based Imitation Learning
Fangchen Liu
Z. Ling
Tongzhou Mu
Hao Su
9
92
0
21 Nov 2019
On Value Discrepancy of Imitation Learning
On Value Discrepancy of Imitation Learning
Tian Xu
Ziniu Li
Yang Yu
6
5
0
16 Nov 2019
Learning from Trajectories via Subgoal Discovery
Learning from Trajectories via Subgoal Discovery
S. Paul
J. Baar
Amit K. Roy-Chowdhury
86
47
0
03 Nov 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics
  Disagreement
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Chao Yang
Xiaojian Ma
Wenbing Huang
F. Sun
Huaping Liu
Junzhou Huang
Chuang Gan
28
70
0
10 Oct 2019
Model-based Behavioral Cloning with Future Image Similarity Learning
Model-based Behavioral Cloning with Future Image Similarity Learning
Alan Wu
A. Piergiovanni
Michael S. Ryoo
OffRL
34
14
0
08 Oct 2019
Scenario Generalization of Data-driven Imitation Models in Crowd
  Simulation
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation
Gang Qiao
H. Zhou
Mubbasir Kapadia
Sejong Yoon
Vladimir Pavlovic
AI4CE
20
8
0
02 Oct 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang
F. Torabi
L. Guan
D. Ballard
Peter Stone
19
87
0
21 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated
  Temporal Information
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Yiren Zhao
Ilia Shumailov
Han Cui
Xitong Gao
Robert D. Mullins
Ross J. Anderson
AAML
9
28
0
06 Sep 2019
Learning Self-Correctable Policies and Value Functions from
  Demonstrations with Negative Sampling
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
Yuping Luo
Huazhe Xu
Tengyu Ma
SSL
26
13
0
12 Jul 2019
Better-than-Demonstrator Imitation Learning via Automatically-Ranked
  Demonstrations
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
Daniel S. Brown
Wonjoon Goo
S. Niekum
17
9
0
09 Jul 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
41
356
0
06 Jul 2019
Sample-efficient Adversarial Imitation Learning from Observation
Sample-efficient Adversarial Imitation Learning from Observation
F. Torabi
S. Geiger
Garrett A. Warnell
Peter Stone
29
13
0
18 Jun 2019
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single
  Observed Demonstration
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration
Brahma S. Pavse
F. Torabi
Josiah P. Hanna
Garrett A. Warnell
Peter Stone
27
33
0
18 Jun 2019
Imitation Learning as $f$-Divergence Minimization
Imitation Learning as fff-Divergence Minimization
Liyiming Ke
Sanjiban Choudhury
Matt Barnes
Wen Sun
Gilwoo Lee
S. Srinivasa
VLM
24
161
0
30 May 2019
Recent Advances in Imitation Learning from Observation
Recent Advances in Imitation Learning from Observation
F. Torabi
Garrett A. Warnell
Peter Stone
23
163
0
30 May 2019
Learning Navigation Subroutines from Egocentric Videos
Learning Navigation Subroutines from Egocentric Videos
Ashish Kumar
Saurabh Gupta
Jitendra Malik
SSL
EgoV
25
13
0
29 May 2019
Adversarial Imitation Learning from Incomplete Demonstrations
Adversarial Imitation Learning from Incomplete Demonstrations
Mingfei Sun
Xiaojuan Ma
24
28
0
29 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
17
116
0
27 May 2019
Provably Efficient Imitation Learning from Observation Alone
Provably Efficient Imitation Learning from Observation Alone
Wen Sun
Anirudh Vemula
Byron Boots
J. Andrew Bagnell
30
105
0
27 May 2019
Imitation Learning from Video by Leveraging Proprioception
Imitation Learning from Video by Leveraging Proprioception
F. Torabi
Garrett A. Warnell
Peter Stone
16
35
0
22 May 2019
Perceptual Values from Observation
Perceptual Values from Observation
Ashley D. Edwards
Charles Isbell
OffRL
SSL
35
16
0
20 May 2019
Exact-K Recommendation via Maximal Clique Optimization
Exact-K Recommendation via Maximal Clique Optimization
Yu Gong
Yu Zhu
Lu Duan
Qingwen Liu
Ziyu Guan
Fei Sun
Wenwu Ou
Kenny Q. Zhu
OffRL
CML
24
59
0
17 May 2019
PLOTS: Procedure Learning from Observations using Subtask Structure
PLOTS: Procedure Learning from Observations using Subtask Structure
Tong Mu
Karan Goel
Emma Brunskill
19
3
0
17 Apr 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement
  Learning from Observations
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel S. Brown
Wonjoon Goo
P. Nagarajan
S. Niekum
30
350
0
12 Apr 2019
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