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Graph-Based Safe Reinforcement Learning for Multi-Agent Systems with Time-Varying Topology
This paper presents a graph-based safe multi-agent reinforcement learning (MARL) framework for cooperative navigation with time-varying topology. To address the critical challenge of ensuring safety in environments with sensing constraints, a safety-decoupled mechanism is introduced through a Contro
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