AIM Banners_978 x 90

Reinforcement learning & imitation learning: A comparative analysis

Imitation learning is a training method where the computer imitates human behaviour.
Reinforcement learning powers DeepMind's MuZero, AlphaStar, Agent57 etc., while imitation learning is at the heart of Waymo's self-driving cars. But what exactly are these two training methods, and how do they stack up against each other? Let's find out. What is reinforcement learning?  Reinforcement learning refers to how a model learns to perform a task through repeated trial-and-error interactions in a dynamic environment. The systems learn to make decisions based on a reward function without human intervention and explicit programming. RL is considered a viable path to AGI as it does not depend on historical data sets. To that end, tech companies like Facebook, Google, DeepMind, Amazon, and Microsoft have committed substantial resources to pushing the frontiers of RL. The go
Subscribe or log in to Continue Reading

Uncompromising innovation. Timeless influence. Your support powers the future of independent tech journalism.

Already have an account? Sign In.

📣 Want to advertise in AIM? Book here

Picture of Avi Gopani
Avi Gopani
Avi Gopani is a technology journalist that seeks to analyse industry trends and developments from an interdisciplinary perspective at Analytics India Magazine. Her articles chronicle cultural, political and social stories that are curated with a focus on the evolving technologies of artificial intelligence and data analytics.
Related Posts
AIM Print and TV
Don’t Miss the Next Big Shift in AI.
Get one year subscription for ₹5999
Download the easiest way to
stay informed