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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Ryo Moriyama

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2 papers indexed here

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Conference Aug 2026

Spatial Graph-Based Multi-Agent Reinforcement Learning for Asynchronous Coordination with Dynamic Entities

Real-world multi-agent systems operate in dynamic environments characterized by asynchrony arising from long-horizon planning, varying numbers of entities, and changes in spatial layouts. Although multi-agent reinforcement learning (MARL) has introduced methods for asynchronous decisionmaking and generalization to vari...

Ryo Moriyama, Junpei Yamaguchi, Hidetsugu Uchida et al. · 0 citations
Review Sep 2026

Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models

For robots to operate reliably in real-world environments, they need to perceive their surroundings, act, and reason about the consequences of those actions. Rapid progress in the domains of representation learning, VLA models, and world models has significantly enhanced the capabilities of robot learning systems, enab...

Shaunak A. Mehta, Ananya Hazarika, Haochen Zhang et al. · 0 citations

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