DDQN
PulseAugur coverage of DDQN — every cluster mentioning DDQN across labs, papers, and developer communities, ranked by signal.
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6G OFDM-RIS Optimization Survey: Foundation Models and Deep Learning Emerge
A new survey paper explores optimization algorithms for joint Orthogonal Frequency-Division Multiplexing (OFDM) and Reconfigurable Intelligent Surface (RIS) configuration in 6G networks. It categorizes existing research…
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New MCVL method mitigates reward hacking in reinforcement learning
Researchers have developed a new method called Modification-Considering Value Learning (MCVL) to address reward hacking in reinforcement learning agents. MCVL filters incoming data transitions, allowing them only if the…
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New Framework Enhances Influence Maximization on Incomplete Social Graphs
Researchers have introduced SP-GCRL, a novel framework designed to tackle influence maximization challenges in social networks with incomplete data. The system employs a social-propagation-aware diffusion function to mo…
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Dueling DDQN optimizes LEO satellite network handovers, boosting throughput by 10.3%
Researchers have developed a new adaptive multi-objective handover framework for LEO satellite networks utilizing a dueling double deep Q-network (DDQN). This framework is designed to dynamically balance throughput, blo…