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1803.00590
Cited By
Hierarchical Imitation and Reinforcement Learning
1 March 2018
Hoang Minh Le
Nan Jiang
Alekh Agarwal
Miroslav Dudík
Yisong Yue
Hal Daumé
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Papers citing
"Hierarchical Imitation and Reinforcement Learning"
45 / 45 papers shown
Title
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Sangwon Seo
Vaibhav Unhelkar
62
1
0
24 Feb 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
89
0
0
19 Dec 2024
Autoregressive Action Sequence Learning for Robotic Manipulation
Xinyu Zhang
Yuhan Liu
Haonan Chang
Liam Schramm
Abdeslam Boularias
49
10
0
04 Oct 2024
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Chengyang Gu
Yuxin Pan
Haotian Bai
Hui Xiong
Yize Chen
37
0
0
03 Oct 2024
Interpretable Robotic Manipulation from Language
Boyuan Zheng
Jianlong Zhou
Fang Chen
LM&Ro
46
0
0
27 May 2024
A survey of air combat behavior modeling using machine learning
Patrick Ribu Gorton
Andreas Strand
K. Brathen
AI4CE
37
8
0
22 Apr 2024
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
Kuang-Da Wang
Wei-Yao Wang
Ping-Chun Hsieh
Wenjie Peng
OffRL
34
0
0
19 Mar 2024
Multi-Stage Cable Routing through Hierarchical Imitation Learning
Jianlan Luo
Charles Xu
Xinyang Geng
Gilbert Feng
Kuan Fang
L. Tan
S. Schaal
Sergey Levine
38
53
0
18 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
34
18
0
15 Jul 2023
Hierarchical Imitation Learning with Vector Quantized Models
Kalle Kujanpää
Joni Pajarinen
Alexander Ilin
22
12
0
30 Jan 2023
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
Ruibo Liu
Chenyan Jia
Ge Zhang
Ziyu Zhuang
Tony X. Liu
Soroush Vosoughi
99
35
0
01 Jan 2023
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Charles A. Hepburn
Giovanni Montana
OffRL
34
13
0
21 Nov 2022
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen
Tian-Shing Lan
Vaneet Aggarwal
BDL
24
16
0
05 Oct 2022
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
Yuxiao Chen
Boris Ivanovic
Marco Pavone
34
81
0
26 Aug 2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies
Yu Wang
Fang Liu
29
0
0
23 May 2022
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
35
30
0
22 May 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
Abhishek Gupta
Corey Lynch
Brandon Kinman
Garrett Peake
Sergey Levine
Karol Hausman
OffRL
19
17
0
29 Mar 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
30
8
0
28 Jan 2022
Conditional Imitation Learning for Multi-Agent Games
Andy Shih
Stefano Ermon
Dorsa Sadigh
41
11
0
05 Jan 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
45
34
0
07 Dec 2021
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
Qiang Liu
Nakjung Choi
Tao Han
OffRL
32
29
0
02 Nov 2021
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
Damien Vincent
Sertan Girgin
Anton Raichuk
M. Geist
Olivier Pietquin
OffRL
33
23
0
19 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
49
16
0
14 Oct 2021
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation
Yifeng Zhu
Peter Stone
Yuke Zhu
47
61
0
28 Sep 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
Ruohan Zhang
F. Torabi
Garrett A. Warnell
Peter Stone
83
28
0
13 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
27
22
0
08 Jul 2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
Duo Xu
Faramarz Fekri
24
10
0
21 Jun 2021
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
Muhammad Zubair Irshad
Chih-Yao Ma
Z. Kira
LM&Ro
30
49
0
21 Apr 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
Iretiayo Akinola
Zizhao Wang
Peter K. Allen
37
2
0
24 Mar 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning
Vittorio Giammarino
I. Paschalidis
OffRL
22
2
0
22 Mar 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
132
82
0
16 Jan 2021
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Yichen Zhang
F. Qiu
Tianqi Hong
Zhaoyu Wang
F. Li
11
23
0
29 Nov 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling
Xin Ye
Yezhou Yang
22
14
0
16 Oct 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Zhangjie Cao
Erdem Biyik
Woodrow Z. Wang
Allan Raventos
Adrien Gaidon
Guy Rosman
Dorsa Sadigh
34
65
0
01 Jul 2020
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
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
43
188
0
23 Dec 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning
Haodi Zhang
Zihang Gao
Yi Zhou
Haotong Zhang
Kaishun Wu
Fangzhen Lin
AI4CE
27
17
0
22 Oct 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang
F. Torabi
L. Guan
D. Ballard
Peter Stone
19
87
0
21 Sep 2019
Hindsight Trust Region Policy Optimization
Hanbo Zhang
Site Bai
Xuguang Lan
David Hsu
Nanning Zheng
38
8
0
29 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model
Akira Kinose
T. Taniguchi
32
20
0
03 Jul 2019
Co-training for Policy Learning
Jialin Song
Ravi Lanka
Yisong Yue
M. Ono
OffRL
18
19
0
03 Jul 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Alexander C. Li
Carlos Florensa
I. Clavera
Pieter Abbeel
29
71
0
13 Jun 2019
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Michal Garmulewicz
Henryk Michalewski
Piotr Milos
16
8
0
10 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
35
256
0
09 Sep 2018
Accelerating Imitation Learning with Predictive Models
Ching-An Cheng
Xinyan Yan
Evangelos A. Theodorou
Byron Boots
32
21
0
12 Jun 2018
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