CS 285: Eric Mitchell: Reinforcement Learning from Human Feedback: Algorithms & Applications

CS 285: Andrea Zanette: Towards a Statistical Foundation for Reinforcement Learning

RLHF: How to Learn from Human Feedback with Reinforcement Learning

Think Fast, Talk Smart: Communication Techniques

CS 285: Lecture 21, RL with Sequence Models & Language Models, Part 2

Aviral Kumar: What Do We Need to Scale Up Deep Reinforcement Learning? (2024-03-27)

Reinforcement Learning from Human Feedback (RLHF) Explained

RLHF & DPO Explained (In Simple Terms!)

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Reinforcement Learning from Human Feedback: From Zero to chatGPT

CS 285: Guest Lecture: Dorsa Sadigh

Reinforcement Learning with Large Datasets: Robotics, Image Generation, and LLMs

Reinforcement Learning from Human Feedback explained with math derivations and the PyTorch code.

How To Speak Fluently In English About Almost Anything

Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback

Large-Scale Data-Driven Robotic Learning

CS 285: Guest Lecture: Aviral Kumar

Transformers (how LLMs work) explained visually | DL5

Reinforcement Learning with Human Feedback - How to train and fine-tune Transformer Models

MIT 6.S191: Reinforcement Learning

Q-learning - Explained!