Multi-Agent Negotiation for Adaptive Consumption of Continuous Allocation
Multi-Agent Deep Reinforcement Learning for Cooperative Path Planning of UAV Swarms
AEGIS-RL: Abstract, Explainable Graphs for Integrated Safety in RL
Contingent Planning in Domains with Unsafe Facts
From Human Teams to Hybrid Intelligence Teams: Identifying, Characterizing, and Evaluating Foundational Quality Attributes
CCoRe: Cooperative-Competitive Reasoning LLM-based Multi-Agent Framework
Investigating Training Efficiency of Direct Scaling in Multi-Agent Reinforcement Learning
Assisting Multi-Agent System Design with MOISE+ and MARL: The MAMAD Method
Improving Execution Concurrency in Partial-Order Plans via Block-Substitution
Confidence-Based Curricula for Multi-Agent Path Finding via Reinforcement Learning
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