Articles

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

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

Towards Accelerating Deep Reinforcement Learning via Branched Symmetries

in Robot Learning and Evolution

• Juan Rojas
• Ryan Vander Stelt
• Cleiver Ruiz Martinez
• Caeden Rosen
• Blake Hull

Morphological Symmetry-aware Generalized Policy Network for Deep Reinforcement Learning

in Robot Learning and Evolution

• Ryo Hakoda
• Yubin Liu
• Matthew Hwang
• Yoshihiro Sato
• Jun Takamatsu
• Katsushi Ikeuchi
• Takeshi Oishi

Strategy optimization of emergency frequency control based on new load with time delay characteristics

in Smart Grids

• Lixia Sun
• Yiyun Tian
• Yichao Wu
• Wenzhe Huang
• Chenhui Yan
• Yuqing Jin

Optimization of emergency frequency control strategy for power systems considering both source and load uncertainties

in Energy Storage

• Shi Zhang
• Shao Yi Ren
• Bo Zhang
• Jiang Zhe Feng
• Xin Gang Zhang
• Yi Chao Wu
• Li Xia Sun

Home energy management strategy to schedule multiple types of loads and energy storage device with consideration of user comfort: a deep reinforcement learning based approach

in Advancements in Cooling and Heating

• Tingzhe Pan
• Zean Zhu
• Hongxuan Luo
• Chao Li
• Xin Jin
• Zijie Meng
• Xinlei Cai

A reinforcement learning-based demand response strategy designed from the Aggregator’s perspective

in Smart Grids

• Seongmun Oh
• Jaesung Jung
• Ahmet Onen
• Chul-Ho Lee

Path Planning of Mobile Robot With Improved Ant Colony Algorithm and MDP to Produce Smooth Trajectory in Grid-Based Environment

• Hub Ali
• Dawei Gong
• Meng Wang
• Xiaolin Dai

Multi-objective optimal scheduling of charging stations based on deep reinforcement learning

in Smart Grids

• Feifei Cui
• Xixiang Lin
• Ruining Zhang
• Qingyu Yang

Research on Game Operation of Multi-Stakeholder in Distribution Network in Electricity Market

in Process and Energy Systems Engineering

• Wenli Deng
• Ping Dong
• Mingbo Liu
• Xuewei Huang
• Xinyu He
• Ruijin He

Patient-Specific Sedation Management via Deep Reinforcement Learning

in Personalized Medicine

• Niloufar Eghbali
• Tuka Alhanai
• Mohammad M. Ghassemi

Deep reinforcement learning for real-time economic energy management of microgrid system considering uncertainties

in Smart Grids

• Ding Liu
• Chuanzhi Zang
• Peng Zeng
• Wanting Li
• Xin Wang
• Yuqi Liu
• Shuqing Xu

Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images

in Environmental Informatics and Remote Sensing

• Sriram Ganapathi Subramanian
• Mark Crowley