IEEE

Deployment-Aware Predictive Resource Allocation in 5G, 6G, and Beyond RANs Using Integrated Deep and Reinforcement Learning

Abstract: The evolution of 5G and the emergence of 6G networks introduce stringent and often conflicting requirements across heterogeneous service classes, including enhanced Mobile Broadband (eMBB), ...
GitHub

EoH: Evolution of Heuristics

A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
note

[Sakura Financial Commentary] Why Humans Cannot Make Rational Decisions: Deciphering the 'Decision-Making Trap' through Prospect Theory, Heuristics, and the Peak-End Rule

Economics has long treated humans as 'rational decision-making beings.' People act to maximize their own interests. They avoid losses, choose gains, and calmly calculate probabilities and expected ...
IEEE

PHH: Policy-Based Hyper-Heuristic With Reinforcement Learning

Abstract: Hyper-heuristics have a high level of generality and adaptability, allowing them to effectively solve a wide range of complex optimization problems. With reinforcement learning, ...