Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML

arXiv:2305.14109 · cs.LG, cs.AI · Submitted 2023-05-23 · Read on arXiv

cs.LG, cs.AI

Submitted: 2023-05-23

Updated: 2025-01-23

Terminology

• Accuracy — 2× in this paper · explained in 1 episode
• Bayesian Optimization — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• Distilling the Knowledge in a Neural Network
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
• Pruning Filters for Efficient ConvNets
• Continuous control with deep reinforcement learning
• Proximal Policy Optimization Algorithms
• PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
• Neural Architecture Search: Insights from 1000 Papers
• To prune, or not to prune: exploring the efficacy of pruning for model compression

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