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1805.10413
Cited By
Fast Policy Learning through Imitation and Reinforcement
26 May 2018
Ching-An Cheng
Xinyan Yan
Nolan Wagener
Byron Boots
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Papers citing
"Fast Policy Learning through Imitation and Reinforcement"
45 / 45 papers shown
Title
Human-inspired Grasping Strategies of Fresh Fruits and Vegetables Applied to Robotic Manipulation
Romeo Orsolino
Mykhaylo Marfeychuk
Mariana de Paula Assis Fonseca
Mario Baggetta
Wesley Wimshurst
Francesco Porta
Morgan Clarke
Giovanni Berselli
Jelizaveta Konstantinova
38
0
0
30 Oct 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman
Urban Fasel
J. Nathan Kutz
Steven L. Brunton
AI4CE
30
11
0
14 Mar 2024
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
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping
David Wu
Sanjiban Choudhury
21
0
0
04 Feb 2024
RLIF: Interactive Imitation Learning as Reinforcement Learning
Jianlan Luo
Perry Dong
Yuexiang Zhai
Yi Ma
Sergey Levine
OffRL
25
14
0
21 Nov 2023
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
Xuefeng Liu
Takuma Yoneda
Rick L. Stevens
Matthew R. Walter
Yuxin Chen
29
10
0
03 Oct 2023
A Structured Prediction Approach for Robot Imitation Learning
Anqing Duan
Iason Batzianoulis
Raffaello Camoriano
Lorenzo Rosasco
Daniele Pucci
A. Billard
21
4
0
26 Sep 2023
Learning to Generate Better Than Your LLM
Jonathan D. Chang
Kianté Brantley
Rajkumar Ramamurthy
Dipendra Kumar Misra
Wen Sun
19
41
0
20 Jun 2023
Deploying Offline Reinforcement Learning with Human Feedback
Ziniu Li
Kelvin Xu
Liu Liu
Lanqing Li
Deheng Ye
P. Zhao
OffRL
28
2
0
13 Mar 2023
Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem
Hélène Plisnier
Denis Steckelmacher
Jeroen Willems
B. Depraetere
Ann Nowé
OffRL
16
1
0
30 Jan 2023
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Arjun Krishna
Z. Zaidi
Letian Chen
Rohan R. Paleja
Esmaeil Seraj
Matthew C. Gombolay
13
2
0
29 Dec 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction
Mehrdad Tavassoli
S. Katyara
Maria Pozzi
Nikhil Deshpande
D. Caldwell
D. Prattichizzo
25
11
0
14 Oct 2022
Robots Enact Malignant Stereotypes
Andrew Hundt
William Agnew
V. Zeng
Severin Kacianka
Matthew C. Gombolay
LM&Ro
35
41
0
23 Jul 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
CLL
OffRL
32
1
0
16 May 2022
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
Alex X. Lee
Coline Devin
Jost Tobias Springenberg
Yuxiang Zhou
Thomas Lampe
A. Abdolmaleki
Konstantinos Bousmalis
OffRL
OnRL
16
15
0
06 May 2022
Self-Imitation Learning from Demonstrations
Georgiy Pshikhachev
Dmitry Ivanov
Vladimir Egorov
A. Shpilman
17
6
0
21 Mar 2022
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task
Vittorio Giammarino
Matthew F. Dunne
Kylie N. Moore
Michael Hasselmo
Chantal E. Stern
I. Paschalidis
OffRL
24
5
0
11 Mar 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
Supriyo Ghosh
L. Wynter
Shiau Hong Lim
D. Nguyen
26
0
0
27 Feb 2022
Leveraging Experience in Lazy Search
M. Bhardwaj
Sanjiban Choudhury
Byron Boots
S. Srinivasa
8
12
0
10 Oct 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning
Vittorio Giammarino
I. Paschalidis
OffRL
14
2
0
22 Mar 2021
Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning
Yan Wang
C. C. Beltran-Hernandez
Weiwei Wan
Kensuke Harada
16
20
0
10 Mar 2021
Bootstrapping Motor Skill Learning with Motion Planning
Ben Abbatematteo
Eric Rosen
Stefanie Tellex
George Konidaris
SSL
14
9
0
12 Jan 2021
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints
Weijia Xu
Marine Carpuat
KELM
17
47
0
13 Nov 2020
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
Yuchen Wu
Melissa Mozifian
Florian Shkurti
18
21
0
02 Nov 2020
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills
Samuele Tosatto
Georgia Chalvatzaki
Jan Peters
10
12
0
26 Oct 2020
Explaining Fast Improvement in Online Imitation Learning
Xinyan Yan
Byron Boots
Ching-An Cheng
OnRL
11
1
0
06 Jul 2020
Policy Improvement via Imitation of Multiple Oracles
Ching-An Cheng
Andrey Kolobov
Alekh Agarwal
6
5
0
01 Jul 2020
Learning from Trajectories via Subgoal Discovery
S. Paul
J. Baar
A. Roy-Chowdhury
81
47
0
03 Nov 2019
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
Xinyue Chen
Zijian Zhou
Zhilin Wang
Che Wang
Yanqiu Wu
Keith Ross
OffRL
17
120
0
27 Oct 2019
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
Mustafa Mukadam
Ching-An Cheng
D. Fox
Byron Boots
Nathan D. Ratliff
13
23
0
07 Oct 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
Ching-An Cheng
Xinyan Yan
Byron Boots
14
22
0
08 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Josef Sivic
Cordelia Schmid
11
4
0
02 Aug 2019
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
Yang Gao
Christian M. Meyer
Mohsen Mesgar
Iryna Gurevych
16
22
0
30 Jul 2019
Imitation-Projected Programmatic Reinforcement Learning
A. Verma
Hoang Minh Le
Yisong Yue
Swarat Chaudhuri
14
2
0
11 Jul 2019
Self-Regulated Interactive Sequence-to-Sequence Learning
Julia Kreutzer
Stefan Riezler
11
7
0
11 Jul 2019
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation
Tsz Kin Lam
Shigehiko Schamoni
Stefan Riezler
AI4CE
15
18
0
04 Jul 2019
Co-training for Policy Learning
Jialin Song
Ravi Lanka
Yisong Yue
M. Ono
OffRL
8
19
0
03 Jul 2019
Imitation Learning as
f
f
f
-Divergence Minimization
Liyiming Ke
Sanjiban Choudhury
Matt Barnes
Wen Sun
Gilwoo Lee
S. Srinivasa
VLM
16
161
0
30 May 2019
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning
Andrew Silva
Matthew C. Gombolay
OffRL
19
20
0
15 Feb 2019
Non-Monotonic Sequential Text Generation
Sean Welleck
Kianté Brantley
Hal Daumé
Kyunghyun Cho
44
129
0
05 Feb 2019
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
D. Meger
Doina Precup
OffRL
BDL
17
1,575
0
07 Dec 2018
Trajectory-based Learning for Ball-in-Maze Games
S. Paul
J. Baar
11
1
0
28 Nov 2018
Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning
Yulhwa Kim
Michael Laskey
A. Tanwani
A. Aswani
Ken Goldberg
11
10
0
06 Nov 2018
Predictor-Corrector Policy Optimization
Ching-An Cheng
Xinyan Yan
Nathan D. Ratliff
Byron Boots
OnRL
14
23
0
15 Oct 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar
Nicholas Rhinehart
Katharina Muelling
Kris M. Kitani
16
1
0
20 Jun 2018
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