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SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

27 May 2019
S. Reddy
Anca Dragan
Sergey Levine
    OffRL
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Papers citing "SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards"

11 / 11 papers shown
Title
Imitation Learning in Discounted Linear MDPs without exploration
  assumptions
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano
Stratis Skoulakis
V. Cevher
30
3
0
03 May 2024
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping
David Wu
Sanjiban Choudhury
23
0
0
04 Feb 2024
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
32
11
0
25 May 2023
Model-Based Imitation Learning Using Entropy Regularization of Model and
  Policy
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy
E. Uchibe
23
3
0
21 Jun 2022
Model-based Offline Imitation Learning with Non-expert Data
Model-based Offline Imitation Learning with Non-expert Data
Jeongwon Park
Lin F. Yang
OffRL
32
1
0
11 Jun 2022
GRI: General Reinforced Imitation and its Application to Vision-Based
  Autonomous Driving
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving
Raphael Chekroun
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
39
60
0
16 Nov 2021
Primal Wasserstein Imitation Learning
Primal Wasserstein Imitation Learning
Robert Dadashi
Léonard Hussenot
M. Geist
Olivier Pietquin
23
124
0
08 Jun 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative
  Adversarial Nets
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Cong Fei
Bin Wang
Yuzheng Zhuang
Zongzhang Zhang
Jianye Hao
Hongbo Zhang
Xuewu Ji
Wulong Liu
25
25
0
19 May 2020
Energy-Based Imitation Learning
Energy-Based Imitation Learning
Minghuan Liu
Tairan He
Minkai Xu
Weinan Zhang
16
48
0
20 Apr 2020
Universal Value Density Estimation for Imitation Learning and
  Goal-Conditioned Reinforcement Learning
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker
Charles Isbell
OffRL
36
12
0
15 Feb 2020
Training Neural Network Controllers Using Control Barrier Functions in
  the Presence of Disturbances
Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances
Shakiba Yaghoubi
Georgios Fainekos
S. Sankaranarayanan
26
42
0
18 Jan 2020
1