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Challenges of Running Expensive Benchmarks and the Importance of Small-Scale Experiments
This chapter explores the overemphasis on benchmarks like ImageNet in reinforcement learning research and addresses the limitations of resources for running complex experiments. It emphasizes the importance of including small to mid-scale experiments and promoting participation from researchers with limited access to large compute resources.