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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

3 July 2019
Akira Kinose
T. Taniguchi
ArXivPDFHTML

Papers citing "Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model"

10 / 10 papers shown
Title
Goal-Aware Generative Adversarial Imitation Learning from Imperfect
  Demonstration for Robotic Cloth Manipulation
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation
Yoshihisa Tsurumine
Takamitsu Matsubara
27
13
0
21 Sep 2022
Disturbance-Injected Robust Imitation Learning with Task Achievement
Disturbance-Injected Robust Imitation Learning with Task Achievement
Hirotaka Tahara
Hikaru Sasaki
Hanbit Oh
B. Michael
Takamitsu Matsubara
13
9
0
09 May 2022
Hierarchical Path-planning from Speech Instructions with Spatial
  Concept-based Topometric Semantic Mapping
Hierarchical Path-planning from Speech Instructions with Spatial Concept-based Topometric Semantic Mapping
Akira Taniguchi
Shuya Ito
T. Taniguchi
55
1
0
21 Mar 2022
Learning to Execute: Efficient Learning of Universal Plan-Conditioned
  Policies in Robotics
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
Ingmar Schubert
Danny Driess
Ozgur S. Oguz
Marc Toussaint
OffRL
20
1
0
15 Nov 2021
Imitation Learning: Progress, Taxonomies and Challenges
Imitation Learning: Progress, Taxonomies and Challenges
Boyuan Zheng
Sunny Verma
Jianlong Zhou
Ivor Tsang
Fang Chen
17
85
0
23 Jun 2021
Forward and inverse reinforcement learning sharing network weights and
  hyperparameters
Forward and inverse reinforcement learning sharing network weights and hyperparameters
E. Uchibe
Kenji Doya
11
18
0
17 Aug 2020
Spatial Concept-Based Navigation with Human Speech Instructions via
  Probabilistic Inference on Bayesian Generative Model
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
Akira Taniguchi
Y. Hagiwara
T. Taniguchi
T. Inamura
LM&Ro
24
20
0
18 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation
  Learning
Domain-Adversarial and Conditional State Space Model for Imitation Learning
Ryogo Okumura
Masashi Okada
T. Taniguchi
16
11
0
31 Jan 2020
Variational Inference MPC for Bayesian Model-based Reinforcement
  Learning
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
Masashi Okada
T. Taniguchi
20
73
0
08 Jul 2019
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based
  Character Skills
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
171
495
0
08 Apr 2018
1