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Smart charging of large fleets of Electric Vehicles: Independent Multi-Agent Rei

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1 SIGNALFIRST DETECTED 1 July 2026
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20 Mar
Single Agent Robust Deep Reinforcement Learning for Bus Fleet Control

arXiv:2508.20784v2 Announce Type: replace Abstract: Bus bunching remains a challenge for urban transit due to stochastic traffic and passenger demand. Traditional solutions rely

REPORT · WHAT · ArXiv CS.AIOPEN STORY
2 May
A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

arXiv:2604.27849v1 Announce Type: new Abstract: This paper presents a configurable, grid-aware Agent-Based Model (ABM) for the systematic analysis of electric vehicle (EV)

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4 Aug
HetGPS: Scalable Graph Multi-Agent Reinforcement Learning with Physics-Anchored Adaptive Safety for EV Charging

arXiv:2608.00679v1 Announce Type: new Abstract: Safety interventions for large populations of network-coupled agents must protect shared constraints without unnecessarily

REPORT · WHAT · ArXiv CS.AIOPEN STORY
8 Jul
Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms

arXiv:2607.06489v1 Announce Type: new Abstract: The dairy industry in Ireland has a large potential for the integration of renewable energy and the reduction of carbon emissions.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
7 Sept
Reinforcement Learning for Sequential Solar PV Policy Design under Uncertainty: An Agent-Based Approach

arXiv:2609.04880v1 Announce Type: new Abstract: Designing effective and fiscally sustainable policies for solar photovoltaic (PV) adoption requires balancing adoption gains

REPORT · WHAT · ArXiv CS.AIOPEN STORY
21 Oct
Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations

arXiv:2610.27159v1 Announce Type: new Abstract: Public charging of electric vehicles (EVs) adds a large and synchronized load to the distribution feeders. In most networks, it is

REPORT · WHO · ArXiv CS.AIOPEN STORY
27 Apr
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

arXiv:2604.22748v1 Announce Type: new Abstract: As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment

REPORT · WHAT · ArXiv CS.AIOPEN STORY
6 Aug
Joint UAV Flight and Opportunistic Routing under Reinforcement Learning for Delay-Tolerant Networks

arXiv:2608.04590v1 Announce Type: new Abstract: The growing deployment of delay-tolerant networks (DTNs) has made store-carry-forward (SCF) communication indispensable under

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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