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- Intro
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- Example Video
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- ClearML
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- How It Works Overview
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- Meta-Learning & RL
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- Attention & Memory
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- Distillation
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- Auto-Curriculum Learning
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- Results
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- Takeaways & Future Work
Description:
Explore the groundbreaking AdA algorithm from DeepMind in this 30-minute video presentation. Delve into the fascinating world of reinforcement learning foundation models as Edan Meyer breaks down the key components of AdA, including curriculum learning, meta reinforcement learning, model-based reinforcement learning, attention, and memory models. Learn how these concepts come together to create a promising prototype for future AI development. Follow along as the video covers an overview of how AdA works, explores meta-learning and RL concepts, discusses attention and memory mechanisms, explains distillation techniques, and examines auto-curriculum learning. Discover the impressive results achieved by AdA and gain insights into potential future developments in the field of reinforcement learning foundation models.

RL Foundation Models Are Coming!

Edan Meyer
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