RL Foundation Models Are Coming!

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.

- Intro
- Example Video
- ClearML
- How It Works Overview
- Meta-Learning & RL
- Attention & Memory
- Distillation
- Auto-Curriculum Learning
- Results
- Takeaways & Future Work