Deep Q-Network
PulseAugur coverage of Deep Q-Network — every cluster mentioning Deep Q-Network across labs, papers, and developer communities, ranked by signal.
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Reinforcement learning enhances autonomous target tracking accuracy and robustness
Researchers have developed a deep reinforcement learning approach for autonomous bearings-only tracking of moving targets. The system formulates the observer maneuver problem as a belief Markov decision process, using a…
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DRL framework optimizes NR-U/Wi-Fi coexistence for fairness and throughput
Researchers have developed a policy-driven deep reinforcement learning framework to manage resource allocation between NR-U and Wi-Fi networks operating in unlicensed spectrum. This framework uses a deep Q-network to le…
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LLMs fine-tuned for traffic control with critic-guided reinforcement learning
Researchers have developed DGLight, a novel framework that fine-tunes large language models for traffic signal control. This approach utilizes a Deep Q-Network critic to guide the optimization process, enabling the mode…