Tag: AI Multi-Agent Systems
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BioProVLA-Agent: Affordable AI for Lab Automation
Discover BioProVLA-Agent, an affordable AI system enhancing biological lab automation with vision-driven, protocol-based multi-agent control.
TraceFix: Verified Agent Coordination with TLA+ Counterexamples
Enhance multi-agent coordination protocols with TraceFix, using TLA+ counterexamples for reliable, efficient verification and repair of LLM agent tasks.
Scalable Multi-Agent Coordination via Alternating Target-Path Planning
Discover a novel alternating target-path planning method that enhances scalability and efficiency in multi-agent coordination for complex environments.
SOM: Enhanced Opponent Modeling for LLM Agents Using SCM
Discover SOM, a novel framework using Structural Causal Models to improve opponent prediction accuracy and stability in LLM-based agents.