Connectionists: NEURAL NETWORKS Special Issue on Deep Reinforcement Learning

[DeLiang Wang]

Neural Networks - Volume 107, November 2018
http://www.journals.elsevier.com/neural-networks


SPECIAL ISSUE on Deep Reinforcement Learning

Guest Editorial
Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang

Sigmoid-weighted linear units for neural network function approximation 
in reinforcement learning
Stefan Elfwing, Eiji Uchibe, Kenji Doya

Novel deep generative simultaneous recurrent model for efficient 
representation learning
M. Alam, L. Vidyaratne, K.M. Iftekharuddin

Intrinsically motivated reinforcement learning for human-robot 
interaction in the real-world
Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi 
Ishiguro

Deeply-learnt damped least-squares (DL-DLS) method for inverse 
kinematics of snake-like robots
Olatunji Mumini Omisore, Shipeng Han, Lingxue Ren, Ahmed Elazab, ... Lei 
Wang

Neural circuits for learning context-dependent associations of stimuli
Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo

An adaptive deep Q-learning strategy for handwritten digit recognition
Junfei Qiao, Gongming Wang, Wenjing Li, Min Chen