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A. Rakib

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Review Open access Aug 2026

Advances in Multi-Agent Deep Reinforcement Learning: Methods with Applications and Challenges

This paper presents a narrative survey of recent developments in MARL and examines research directions centred on centralised training with decentralised execution (CTDE), value decomposition, learned communication, graph-based methods, and model-based learning.

A. Rakib, K. Phung, M. P. Hernández et al. · 0 citations