2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

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.

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