Tag: LLM multi-agent systems
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PAC-BENCH: Multi-Agent Collaboration with Privacy Limits
Discover PAC-BENCH, a benchmark for evaluating multi-agent AI collaboration under privacy constraints to improve coordination and performance.
OOM-RL: Market-Driven Reinforcement Learning for Multi-Agent LLMs
Discover OOM-RL, a market-driven reinforcement learning method aligning LLM-based multi-agent systems with real-world financial penalties for robust AI.
MADQRL: Distributed Quantum Reinforcement Learning for Multi-Agent AI
Discover MADQRL, a distributed quantum reinforcement learning framework boosting efficiency in multi-agent environments with improved performance and scala...
MAFIG: Efficient Multi-Agent Framework for Emergency Scheduling
Discover MAFIG, a multi-agent framework that improves emergency scheduling with fast, formal instruction generation and reduced latency.
EvoNash-MARL: Multi-Agent RL for Equity Allocation
Discover EvoNash-MARL, a multi-agent reinforcement learning framework boosting medium-horizon equity allocation with advanced market adaptation.