MIT 6.S191: Reinforcement Learning

MIT Introduction to Deep Learning 6.S191: Lecture 5 Deep Reinforcement Learning Lecturer: Alexander Amini ** New 2026 Edition ** For all lectures, slides, and lab materials: http://introtodeeplearning.com Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

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MIT 6.S191: Language Models and New Frontiers
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MIT 6.S191: Language Models and New Frontiers

MIT 6.S191: AI for Science
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MIT 6.S191: AI for Science

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

The FASTEST introduction to Reinforcement Learning on the internet
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The FASTEST introduction to Reinforcement Learning on the internet

Yann LeCun: World Models: Enabling the next AI revolution
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Yann LeCun: World Models: Enabling the next AI revolution

WHAT DID OĞUZHAN UĞUR SAY IN HIS STATEMENT?
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WHAT DID OĞUZHAN UĞUR SAY IN HIS STATEMENT?

MIT 6.S191: The Three Laws of AI
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MIT 6.S191: The Three Laws of AI

MIT 6.S191: Convolutional Neural Networks
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MIT 6.S191: Convolutional Neural Networks

MIT 6.S191: Deep Generative Modeling
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MIT 6.S191: Deep Generative Modeling

Transformers, the tech behind LLMs | Deep Learning Chapter 5
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Transformers, the tech behind LLMs | Deep Learning Chapter 5

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

From Child Prodigy to Winning Fields Medal, Nobel of Math
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From Child Prodigy to Winning Fields Medal, Nobel of Math

MIT 6.S191: Secrets of Massively Parallel Training
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MIT 6.S191: Secrets of Massively Parallel Training

Last Lecture Series: “How to Win Without Crushing Your Soul” - Graham Weaver
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Last Lecture Series: “How to Win Without Crushing Your Soul” - Graham Weaver

Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108
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Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108

MIT Introduction to Deep Learning (2025) | 6.S191
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MIT Introduction to Deep Learning (2025) | 6.S191

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Flow and Diffusion Models (2026)
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MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Flow and Diffusion Models (2026)

But what is quantum computing? (Grover's Algorithm)
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But what is quantum computing? (Grover's Algorithm)

Yann LeCun's $1B Bet Against LLMs [Part 1]
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Yann LeCun's $1B Bet Against LLMs [Part 1]

State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
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State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka