Self-organization of action hierarchy and compositionality by
reinforcement learning with recurrent neural networks

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks

29 January 2019

Dongqi Han

Papers citing "Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks"

6 / 6 papers shown

Title
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 28 23 0 15 Mar 2021
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 21 59 0 23 Dec 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 359 11,684 0 09 Mar 2017
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 163 220 0 22 May 2012