Super Data Science: ML & AI Podcast with Jon Krohn
503: Deep Reinforcement Learning for Robotics
Sep 7, 2021
Pieter Abbeel discusses exciting areas of AI robotics research, traits of good AI robotics apprentices, valuable skills in the field, and his hopes for the future. He also explores the integration of curiosity and contrastive learning in AI agents, achieving high reliability in robotics, and the importance of continuous questioning and experimentation in AI robotics research.
01:18:06
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Quick takeaways
- Entrepreneurial success in AI robotics requires aligning research with practical applications.
- Reliability and efficiency are crucial in the transition from academic research to industrial performance.
Deep dives
Research Focus on Deep Reinforcement Learning and Robotics
Peter Abiel, a leading academic researcher on AI robotics, shares insights into his cutting-edge research in deep reinforcement learning. Besides academic pursuits, his successful entrepreneurial ventures in machine learning showcase practical applications in industry, such as Covariant, a robotics firm raising significant funding.
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