32:24[UCLA RL-LLM] Chapter 0: Course outline and prologue
A 32-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 0: Course outline and prologue”.
Ernest Ryu
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32:24
1:35:48[UCLA RL-LLM] Chapter 1.1: MDP foundations, imitation learning, and value iteration
A 96-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 1.1: MDP foundations, imitation learning, and value iteration”.
27:06[UCLA RL-LLM] Chapter 1.2: Deep policy evaluation
A 27-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 1.2: Deep policy evaluation”.
1:16:58[UCLA RL-LLM] Chapter 1.3: Deep policy gradient methods (A3C)
A 77-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 1.3: Deep policy gradient methods (A3C)”.
1:13:30[UCLA RL-LLM] Chapter 1.4: Deep policy gradient methods (PPO, GRPO)
A 74-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 1.4: Deep policy gradient methods (PPO, GRPO)”.
50:17[UCLA RL-LLM] Chapter 1.5: AlphaGo, test-time compute, and expert iteration
A 50-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 1.5: AlphaGo, test-time compute, and expert iteration”.
1:18:43[UCLA RL-LLM] Chapter 2.1: NLP foundations, language modeling, RNNs
A 79-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 2.1: NLP foundations, language modeling, RNNs”.
55:57[UCLA RL-LLM] Chapter 2.2: Transformers I (BERT, GPT-1)
A 56-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 2.2: Transformers I (BERT, GPT-1)”.
34:32[UCLA RL-LLM] Chapter 2.3: Transformers II (modern transformers updates and sampling methods)
A 35-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 2.3: Transformers II (modern transformers updates and sampling methods)”.
24:56[UCLA RL-LLM] Chapter 2.4: In-context learning and instruction fine-tuning
A 25-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 2.4: In-context learning and instruction fine-tuning”.
45:24[UCLA RL-LLM] Chapter 3.1: Reinforcement learning from human feedback (PPO, DPO)
A 45-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 3.1: Reinforcement learning from human feedback (PPO, DPO)”.
1:01:58[UCLA RL-LLM] Chapter 3.2: Reinforcement learning with verifiable rewards (RLVR)
A 62-minute video from Ernest Ryu: “[UCLA RL-LLM] Chapter 3.2: Reinforcement learning with verifiable rewards (RLVR)”.