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Maximum Causal Tsallis Entropy Imitation Learning

Maximum Causal Tsallis Entropy Imitation Learning

22 May 2018
Kyungjae Lee
Sungjoon Choi
Songhwai Oh
    OOD
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Papers citing "Maximum Causal Tsallis Entropy Imitation Learning"

13 / 13 papers shown
Title
Divergence-Augmented Policy Optimization
Qing Wang
Yingru Li
Jiechao Xiong
Tong Zhang
OffRL
39
16
0
28 Jan 2025
MoVEInt: Mixture of Variational Experts for Learning Human-Robot
  Interactions from Demonstrations
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations
V. Prasad
Alap Kshirsagar
Dorothea Koert
R. Stock-Homburg
Jan Peters
Georgia Chalvatzaki
DRL
48
6
0
10 Jul 2024
Inverse Decision Modeling: Learning Interpretable Representations of
  Behavior
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
15
27
0
28 Oct 2023
Identifiability and Generalizability in Constrained Inverse
  Reinforcement Learning
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Andreas Schlaginhaufen
Maryam Kamgarpour
21
10
0
01 Jun 2023
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Dong-Sig Han
Hyunseok Kim
Hyun-Dong Lee
Je-hwan Ryu
Byoung-Tak Zhang
22
2
0
20 Oct 2022
Semi-Supervised Imitation Learning with Mixed Qualities of
  Demonstrations for Autonomous Driving
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving
Gunmin Lee
Wooseok Oh
Seungyoung Shin
Dohyeong Kim
Jeongwoo Oh
Jaeyeon Jeong
Sungjoon Choi
Songhwai Oh
SSL
26
2
0
23 Sep 2021
Regularized Inverse Reinforcement Learning
Regularized Inverse Reinforcement Learning
Wonseok Jeon
Chen-Yang Su
Paul Barde
T. Doan
Derek Nowrouzezahrai
Joelle Pineau
20
11
0
07 Oct 2020
Sparse Randomized Shortest Paths Routing with Tsallis Divergence
  Regularization
Sparse Randomized Shortest Paths Routing with Tsallis Divergence Regularization
P. Leleux
Sylvain Courtain
Guillaume Guex
M. Saerens
OT
11
5
0
01 Jul 2020
Follow the Neurally-Perturbed Leader for Adversarial Training
Follow the Neurally-Perturbed Leader for Adversarial Training
Ari Azarafrooz
11
0
0
16 Feb 2020
Policy Space Identification in Configurable Environments
Policy Space Identification in Configurable Environments
Alberto Maria Metelli
G. Manneschi
Marcello Restelli
11
11
0
09 Sep 2019
Entropic Regularization of Markov Decision Processes
Entropic Regularization of Markov Decision Processes
Boris Belousov
Jan Peters
11
23
0
06 Jul 2019
Imitation Learning as $f$-Divergence Minimization
Imitation Learning as fff-Divergence Minimization
Liyiming Ke
Sanjiban Choudhury
Matt Barnes
Wen Sun
Gilwoo Lee
S. Srinivasa
VLM
14
160
0
30 May 2019
A Survey of Inverse Reinforcement Learning: Challenges, Methods and
  Progress
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
Saurabh Arora
Prashant Doshi
OffRL
15
593
0
18 Jun 2018
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