An affordable vision-and-hardware-keyboard AIoT platform quantifies a 1160% sim-to-real HNS drop for DQN on Breakout while enabling real-world training to ~38% of human performance.
Deep Reinforcement Learning for Smart Home Energy Management,
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Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems
An affordable vision-and-hardware-keyboard AIoT platform quantifies a 1160% sim-to-real HNS drop for DQN on Breakout while enabling real-world training to ~38% of human performance.