Edan Meyer

Edan Meyer

Edan Meyer talks about AI, machine learning and especially reinforcement learning, with educational episodes focused on interesting new research. Links: Personal Site: https://www.edanmeyer.com/ Twitter: https://twitter.com/ejmejm1

Слушайте в своём приложении

Эпизоды

43 эпизода

  1. Google's New Model Learns College-Level Math 49:12
  2. I Talked with Rich Sutton 1:38:06
  3. Neural Networks From Zero: Gradient Descent 14:19
  4. Q Learning Tutorial: Testing and Visualizing 18:52
  5. Is AI Research On the Wrong Path? 13:38
  6. Reinforcement Learning Made Simple - Q-Values 22:30
  7. Reinforcement Learning Made Simple - Policy 19:27
  8. Reinforcement Learning Made Simple - The Goal 19:18
  9. This is What Limits Current LLMs 10:49
  10. Neural Networks From Zero: Forward Propogation 25:59
  11. Doing ML Research as a Graduate Student 23:03
  12. 2 Years of My Research Explained in 13 Minutes 18:35
  13. This AI Learns from YouTube! 27:34
  14. Neural Networks From Zero: How It Works 13:33
  15. The AI Scaling Problem 20:52
  16. 12 Steps to AGI 52:10
  17. Q Learning Tutorial: Training and Loss Function 29:11
  18. AI Learns to Kill Cows in Runescape 14:11
  19. What's New In Machine Learning? 50:57
  20. Reinforcement Learning Made Simple - Reward 21:39
  21. Learning Forever, Backprop Is Insufficient 34:13
  22. AGI is NOT coming soon 20:59
  23. Q Learning Tutorial: Training Loop 27:52
  24. Agent Learns to do Reinforcement Learning 32:30
  25. Q Learning Tutorial: Experience Replay 34:43
  26. The Bellman Equations Explained - RL Theory 18:44
  27. The Best of NeurIPS 2022 32:24
  28. Q Learning Tutorial: Deep Q Networks 23:02
  29. Using ChatGPT to Write My PhD Apps 23:24
  30. Q Learning AI Explained 7:57
  31. Is Gato Really the Future of AI? 29:02
  32. Model Based RL Finally Works! 35:45
  33. Stable Diffusion - What, Why, How? 1:01:52
  34. RL Foundation Models Are Coming! 37:48
  35. Reinforcement Learning: Training and Testing 28:37
  36. ChatGPT Is a Dead End 16:30
  37. Reinforcement Learning: Deep Policy Network 16:31
  38. DALL-E 2 is… meh 22:47