5min chapter

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Generative Video WorldSim, Diffusion, Vision, Reinforcement Learning and Robotics — ICML 2024 Part 1

Latent Space: The AI Engineer Podcast

CHAPTER

Challenges and Future Directions in Reinforcement Learning and Automation

This chapter explores the complexities and future possibilities of automating environment shaping in reinforcement learning. It also presents a new code base for unshaped robotics environments and debates the balance between manual data collection and the essential role of RL in developing advanced robot behaviors.

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