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Hierarchical Imitation and Reinforcement Learning

Hierarchical Imitation and Reinforcement Learning

1 March 2018
Hoang Minh Le
Nan Jiang
Alekh Agarwal
Miroslav Dudík
Yisong Yue
Hal Daumé
ArXivPDFHTML

Papers citing "Hierarchical Imitation and Reinforcement Learning"

45 / 45 papers shown
Title
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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