Energy-aware MARL with individual rewards for drone networks shows better robustness to larger environments and more agents than shared-reward baselines in simulations, reaching at least 80% success rate.
Roer: Regularized optimal experience replay,
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Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward
Energy-aware MARL with individual rewards for drone networks shows better robustness to larger environments and more agents than shared-reward baselines in simulations, reaching at least 80% success rate.