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RLHF: How to Learn from Human Feedback with Reinforcement Learning

Offered By: Cooperative AI Foundation via YouTube

Tags

Reinforcement Learning Courses Artificial Intelligence Courses Machine Learning Courses Multi-Agent Systems Courses Human-AI Interaction Courses RLHF Courses

Course Description

Overview

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Explore the intricacies of Reinforcement Learning from Human Feedback (RLHF) in this 59-minute lecture delivered at the 2023 Cooperative AI Summer School. Delve into the innovative techniques for leveraging human input to enhance AI systems as presented by Natasha Jaques, a Senior Research Scientist at Google Brain. Learn about the applications of RLHF in multi-agent and human-AI interactions, drawing from Jaques' extensive research background and accolades in the field of Social Reinforcement Learning. Gain insights from her experiences at prestigious institutions like MIT, UC Berkeley, DeepMind, and OpenAI, and discover how RLHF is shaping the future of AI development and human-machine collaboration.

Syllabus

RLHF: How to Learn from Human Feedback with Reinforcement Learning


Taught by

Cooperative AI Foundation

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