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Found 2 papers, 1 papers with code
Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making
Our results demonstrate that Sym-Q excels not only in recovering underlying mathematical structures but also uniquely learns to efficiently refine the output expression based on reward signals, thereby discovering underlying expressions.
Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks
In this paper, we study how to optimize the federated edge learning (FEEL) in UAV-enabled Internet of things (IoT) for B5G/6G networks, from a deep reinforcement learning (DRL) approach.
Federated Learning
Networking and Internet Architecture
