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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Bhaskar Ramasubramanian

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2 papers indexed here

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Conference Aug 2026

Subjective Decision-Making in Multi-Agent Reinforcement Learning with Cumulative Prospect Theory and Social Value Orientation

Cyber physical systems such as autonomous vehicles operate in highly dynamic environments where interactions with other autonomous and human agents is inevitable. Reinforcement learning (RL) is a well-established paradigm to allow agents to learn behaviors through interactions with the environment when a model of the e...

John Lewis, Josiah Mesler, Bhaskar Ramasubramanian · 0 citations
Conference Aug 2026

Risk-Informed Multi-Agent Reinforcement Learning for Embedded Systems on Resource-Constrained Hardware

Learning-enabled control systems increasingly rely on multi-agent reinforcement learning to operate in uncertain and interactive environments. While risk-aware decision-making has been shown to improve safety and robustness, deploying such algorithms on resource-constrained embedded platforms remains a significant chal...

Lachlan Talento, Kyle Pham, Bhaskar Ramasubramanian · 0 citations

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