Agentic AI for e-governance: a multi-agent reinforcement learning framework for autonomous cyber defence

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
Electronic Government an International Journal
Published
2026-05-22
DOI
https://doi.org/10.1504/eg.2027.10078629
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agentic AI for e-governance: a multi-agent reinforcement learning framework for autonomous cyber defence

Pranjali Bafila, Rahul Kumar Mishra, Mohit Lal Sah, Sunil Kumar
Electronic Government an International Journal
Reinforcement Learning in Robotics
article

Agentic AI for e-governance: a multi-agent reinforcement learning framework for autonomous cyber defence

Pranjali Bafila, Rahul Kumar Mishra, Mohit Lal Sah, Sunil Kumar
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Electronic Government an International JournalVol. 1(1)
Openalex Percentile: Top 3%
Reinforcement Learning in Robotics
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Agentic AI for e-governance: a multi-agent reinforcement learning framework for autonomous cyber defence — Pranjali Bafila, Rahul Kumar Mishra, et al. · Electronic Government an International Journal (2026) | TGRS Research Map | TGRS