Articles

An immediate-return reinforcement learning for the atypical Markov decision processes

• Zebang Pan
• Guilin Wen
• Zhao Tan
• Shan Yin
• Xiaoyan Hu

Analyses of Markov decision process structure regarding the possible strategic use of interacting memory systems

• Eric A Zilli
• Michael E Hasselmo

Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes

• Rajesh P N Rao

Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task

• Ken Kinjo
• Eiji Uchibe
• Kenji Doya

Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System

in Bionics and Biomimetics

• Jianqiao Xu
• Zhuohan Xu
• Bing Shi

Validating Habitual and Goal-Directed Decision-Making Performance Online in Healthy Older Adults

in Neurocognitive Aging and Behavior

• Kaori L. Ito
• Laura Cao
• Renee Reinberg
• Brenton Keller
• John Monterosso
• Nicolas Schweighofer
• Sook-Lei Liew

Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play

• Sherif Abdelfattah
• Kathryn Kasmarik
• Jiankun Hu

Simple substrates for complex cognition

• Peter Dayan

From pixels to planning: scale-free active inference

in Networks of Dynamical Systems

• Karl Friston
• Conor Heins
• Tim Verbelen
• Lancelot Da Costa
• Tommaso Salvatori
• Dimitrije Markovic
• Alexander Tschantz
• Magnus Koudahl
• Christopher Buckley
• Thomas Parr

Reinforcement Learning With Vision-Proprioception Model for Robot Planar Pushing

• Lin Cong
• Hongzhuo Liang
• Philipp Ruppel
• Yunlei Shi
• Michael Görner
• Norman Hendrich
• Jianwei Zhang

A Hybrid PAC Reinforcement Learning Algorithm for Human-Robot Interaction

in Human-Robot Interaction

• Ashkan Zehfroosh
• Herbert G. Tanner 

Active Inferants: An Active Inference Framework for Ant Colony Behavior

in Learning and Memory

• Daniel Ari Friedman
• Alec Tschantz
• Maxwell J. D. Ramstead
• Karl Friston
• Axel Constant

Data-driven active corrective control in power systems: an interpretable deep reinforcement learning approach

in Smart Grids

• Beibei Li
• Qian Liu
• Yue Hong
• Yuxiong He
• Lihong Zhang
• Zhihong He
• Xiaoze Feng
• Tianlu Gao
• Li Yang

Cooperated Online Learning and Optimization Operation of the Low Voltage Distribution System Considering User Electrical Characteristics

in Process and Energy Systems Engineering

• Jianhua Zhang
• Jun Liu
• Xingnan Jia
• Xiaoqing Xu
• Zhewei Du
• Kaiwei Shen

Security Constrained Dispatch for Renewable Proliferated Distribution Network Based on Safe Reinforcement Learning

in Smart Grids

• Han Cui
• Yujian Ye
• Qidong Tian
• Yi Tang

Dynamic Programming for Resource Allocation in Multi-Allelic Trait Introgression

in Plant Breeding

• Ye Han
• John N. Cameron
• Lizhi Wang
• Hieu Pham
• William D. Beavis