Timothy Kamanu

Adaptive Decision-Making in Audio Classification: A Systematic Review of Reinforcement Learning and Multi-Armed Bandit Frameworks

Adaptive decision-making has emerged as an important direction in audio classification. Reinforcement learning (RL) and multi-armed bandit (MAB) methods offer principled frameworks for sequential and localized decision-making. However, despite growing interest in these approaches...