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Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning

[Classic] Playing Atari with Deep Reinforcement Learning (Paper Explained)

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping (Searchformer)

DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

TransferLab Seminar: Conditional Flow Matching - Alex Tong

Watching Neural Networks Learn

Think Fast, Talk Smart: Communication Techniques

Q-learning - Explained!

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How large language models work, a visual intro to transformers | Chapter 5, Deep Learning

Q Learning simply explained | SARSA and Q-Learning Explanation

MIT 6.S191 (2022): Reinforcement Learning

But what is a neural network? | Chapter 1, Deep learning

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Scalable Extraction of Training Data from (Production) Language Models (Paper Explained)

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[Revision] 2024 NCTS-KAIST-RIKEN Joint Workshop (Jeong San Kim)

L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)

MIT 6.S191: Reinforcement Learning