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Research/RL_DeepMind

• PPO & RLHF & DPO

  Research/RL_DeepMind 2024. 8. 11. 16:11

  https://www.youtube.com/watch?v=SgC6AZss478&list=PLs8w1Cdi-zvYviYYw_V3qe6SINReGF5M-&index=1https://www.youtube.com/watch?v=TjHH_--7l8g&list=PLs8w1Cdi-zvYviYYw_V3qe6SINReGF5M-&index=2https://www.youtube.com/watch?v=Z_JUqJBpVOk&list=PLs8w1Cdi-zvYviYYw_V3qe6SINReGF5M-&index=3https://www.youtube.com/watch?v=k2pD3k1485A&list=PLs8w1Cdi-zvYviYYw_V3qe6SINReGF5M-&index=4 The idea is that, we have a Trans..

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• [6/6] Policy Gradient Methods

  Research/RL_DeepMind 2024. 8. 10. 17:23

  https://www.youtube.com/watch?v=e20EY4tFC_Q&list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr&index=6Policy gradient methods take a more direct approach to the problem statement of RL and as a result, many of the most effective models are from this category. For example, Proxmal Policy Optimization is a type of policy gradient method, and that's OpenAI's go to RL algorithm. In fact, that's what they use t..

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• [5/6] Function Approximation

  Research/RL_DeepMind 2024. 8. 10. 13:04

  https://www.youtube.com/watch?v=Vky0WVh_FSk&list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr&index=5

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• [4/6] Temporal Difference Learning

  Research/RL_DeepMind 2024. 8. 10. 12:13

  https://www.youtube.com/watch?v=AJiG3ykOxmY&list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr&index=4

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• [3/6] Monte Carlo and Off-Policy Methods

  Research/RL_DeepMind 2024. 8. 10. 02:10

  https://www.youtube.com/watch?v=bpUszPiWM7o&list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr&index=3

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• [2/6] Bellman Equations, Dynamic Programming, Generalized Policy Iteration

  Research/RL_DeepMind 2024. 8. 9. 22:33

  https://www.youtube.com/watch?v=_j6pvGEchWU&list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr&index=2

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• [1/6] Reinforcement Learning, by the Book

  Research/RL_DeepMind 2024. 8. 9. 22:17

  https://www.youtube.com/watch?v=NFo9v_yKQXA&list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr&index=1

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• [Lecture 12] (2/2) Deep Reinforcement Learning

  Research/RL_DeepMind 2024. 8. 9. 16:18

  https://www.youtube.com/watch?v=cVzvNZOBaJ4&list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm&index=12https://storage.googleapis.com/deepmind-media/UCL%20x%20DeepMind%202021/Lecture%2012-%20Deep%20RL%201%20.pdf In this section, I want to give you some insight in what happens when ideas from reinforcement learing are combined with deep learning, both in terms of how known RL issues manifest when using deep..

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