Deep reinforcement learning

SE Li - Reinforcement learning for sequential decision and …, 2023 - Springer
Similar to humans, RL agents use interactive learning to successfully obtain satisfactory
decision strategies. However, in many cases, it is desirable to learn directly from …

Robust regional coordination of inverter-based volt/var control via multi-agent deep reinforcement learning

H Liu, C Zhang, Q Chai, K Meng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Inverter-based Volt/Var control (VVC) methods can effectively address issues of voltage
deviations and constraint violations, as well as reduce network power losses in active …

Adaptive congestion control for electric vehicle charging in the smart grid

A Al Zishan, MM Haji… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive control algorithm for plug-in electric vehicle charging
without straining the power system. This control algorithm is decentralized and merely relies …

Adaptive control of plug-in electric vehicle charging with reinforcement learning

A Al Zishan, MM Haji, O Ardakanian - Proceedings of the eleventh ACM …, 2020 - dl.acm.org
This paper proposes an adaptive additive-increase multiplicative-decrease (AIMD)-like
algorithm for controlled charging of plug-in electric vehicles in a power system. The …

Performance evaluation of imitation learning algorithms with human experts

E Båvenstrand, J Berggren - 2019 - diva-portal.org
Performance Evaluation of Imitation Learning Algorithms with Human Experts Page 1 INOM
EXAMENSARBETE TEKNIK, GRUNDNIVÅ, 15 HP , STOCKHOLM SVERIGE 2019 …

Deep Reinforcement Learning for Distribution Network Operation and Electricity Market

H Liu - 2023 - unsworks.unsw.edu.au
The conventional distribution network and electricity market operation have become
challenging under complicated network operating conditions, due to emerging distributed …

Analytics for medical decision making: Applications to the management of treatment-resistant depression

M Cousineau - 2020 - escholarship.mcgill.ca
Operations research and management science (OR/MS) methods have been applied
successfully to a wide range of healthcare settings in the past (ie, system design and …

[PDF][PDF] Introduction into Imitation Learning

A Sokolov - 2018 - cl.uni-heidelberg.de
I presentation:¬ larger up-front effort¬ mostly free for the rest of semester I project:¬ lesser
effort now¬ more time to think and more experience gained I both projects and presentations …