In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …

In this chapter, we introduce a value decomposition-based reinforcement learning (RL)
coupled with a meta training mechanism which allows RL agents to dynamically learn their …

In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …

In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …

Drones Heuristic algorithms meta-learning multi-agent reinforcement learning network
optimization Optimization Satellite broadcasting Task analysis Training Trajectory

In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …

In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …

In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …

In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …

Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks | CiNii
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