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Imitation Learning: Progress, Taxonomies and Challenges

Imitation Learning: Progress, Taxonomies and Challenges

23 June 2021
Boyuan Zheng
Sunny Verma
Jianlong Zhou
Ivor Tsang
Fang Chen
ArXivPDFHTML

Papers citing "Imitation Learning: Progress, Taxonomies and Challenges"

20 / 20 papers shown
Title
ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation
ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation
Zhongquan Zhou
Shuhao Li
Zixian Yue
28
0
0
10 May 2025
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
Niels Justesen
Maria Kaselimi
Sam Snodgrass
Miruna Vozaru
Matthew Schlegel
...
Albert Wang
Christoffer Holmgård
Georgios N. Yannakakis
S. Risi
Julian Togelius
47
0
0
03 Jan 2025
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao
Reid G. Simmons
H. Admoni
Aaditya Ramdas
Andrea Bajcsy
41
4
0
11 Oct 2024
RILe: Reinforced Imitation Learning
RILe: Reinforced Imitation Learning
Mert Albaba
Sammy Christen
Christoph Gebhardt
Thomas Langarek
Otmar Hilliges
Otmar Hilliges
44
1
0
12 Jun 2024
An Efficient Learning Control Framework With Sim-to-Real for String-Type Artificial Muscle-Driven Robotic Systems
An Efficient Learning Control Framework With Sim-to-Real for String-Type Artificial Muscle-Driven Robotic Systems
Jiyue Tao
Yunsong Zhang
S. Rajendran
Feitian Zhang
34
0
0
17 May 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History
Yi Xu
Weiran Shen
Xiao Zhang
Jun Xu
OffRL
38
0
0
24 Mar 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency
  Leveraging Expert Observations
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations
E. C. Ozcan
Vittorio Giammarino
James Queeney
I. Paschalidis
OffRL
34
0
0
29 Feb 2024
Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using
  Reinforcement and Imitation Learning
Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Amr Gomaa
Bilal Mahdy
Niko Kleer
Antonio Krüger
19
1
0
29 Nov 2023
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot
  Collaboration
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm
Felix Trost
Matthias Althoff
OffRL
31
6
0
09 Oct 2023
Iterative Reward Shaping using Human Feedback for Correcting Reward
  Misspecification
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification
Jasmina Gajcin
J. McCarthy
Rahul Nair
Radu Marinescu
Elizabeth M. Daly
Ivana Dusparic
23
3
0
30 Aug 2023
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
32
11
0
25 May 2023
Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations
Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations
Jimmy Xin
Linus Zheng
Kia Rahmani
Jiayi Wei
Jarrett Holtz
Işıl Dillig
Joydeep Biswas
30
1
0
02 Mar 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Yunke Wang
Bo Du
Chang Xu
23
8
0
13 Feb 2023
Explaining Imitation Learning through Frames
Explaining Imitation Learning through Frames
Boyuan Zheng
Jianlong Zhou
Chun-Hao Liu
Yiqiao Li
Fang Chen
14
0
0
03 Jan 2023
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
85
0
0
09 Sep 2022
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
On the Sample Complexity of Stability Constrained Imitation Learning
On the Sample Complexity of Stability Constrained Imitation Learning
Stephen Tu
Alexander Robey
Tingnan Zhang
Nikolai Matni
46
38
0
18 Feb 2021
Robust Maximum Entropy Behavior Cloning
Robust Maximum Entropy Behavior Cloning
Mostafa Hussein
Brendan Crowe
Marek Petrik
M. Begum
11
6
0
04 Jan 2021
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Neha Das
Sarah Bechtle
Todor Davchev
Dinesh Jayaraman
Akshara Rai
Franziska Meier
113
82
0
18 Oct 2020
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
338
11,684
0
09 Mar 2017
1