12min 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

Differences between Deep Reinforcement Learning and Other Types of Deep Networks

This chapter discusses the distinctions between deep reinforcement learning and other types of deep networks. They explain that while some concepts from supervised learning can be applied to reinforcement learning, there are significant differences due to the agent-environment interaction. They also mention offline RL and the challenges of understanding deep networks in the dynamic RL setting.

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