Innovations in Multi-Agent Systems and Applications - 1

By Dipti Srinivasan, L. Jain. 2010

214 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Actor-Attention-Critic for Multi-Agent Reinforcement Learning (2018, background): “Multi-Agent Reinforcement Learning (MARL) is a long studied problem (Buşoniu et al., 2010).”
Provable Self-Play Algorithms for Competitive Reinforcement Learning (2020, result): “We refer the readers to several recent surveys for these results (see e.g. Bus¸oniu et al., 2010; Nguyen et al., 2018; OroojlooyJadid and Hajinezhad, 2019; Zhang et al., 2019).”
A review of cooperative multi-agent deep reinforcement learning (2019, unknown): “Early papers like [29, 30, 131, 235] provide reviews on”
The rise and potential of large language model based agents: a survey (2025, unknown): “This idea has been put into concrete practice with the rise of distributed artiﬁcial intelligence [318].”