Trying to think freely and create equitable & impactful automation @ UCBerkeley EECS. Subscribe directly at robotic.substack.com. More at natolambert.com

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What I do:

  1. Robot learning research at UC Berkeley (PhD expected fall 2021).
  2. Write high-signal content on the internet on AI, robotics, and my interests (See below).
  3. Nerd out on training, longevity, and what it means to be alive.

Support me financially with this link: https://natolambert.medium.com/membership

Where you will find me:

  1. High signal writing: my Substack on AI…

The acrobatic dance videos are flashy, but what are the actual technical breakthroughs? What is happening to the Korean robotics industry?

The robotics company that has a knack for viral technology videos showcasing little things robots can do, parkour, bullying robots, and more. A central tenet of Boston Dynamics is the idea of athletic intelligence — movement patterns that are robust, flexible, and maybe even human. These videos and technologies have…

Multi-agent scenarios make reward maximization a risk. Discussing when, rather than if, we should believe in the Reward Hypothesis.

Dopamine (below) is central to human experience. It is known to be involved in feeling a current pleasure — that is something you are experiencing and enjoying. Dopamine also plays a crucial role in predicting a future please — that is done in planning by releasing the same feeling of…

Thoughts and Theory

I make the case why people iteratively training any model should learn some core concerns of reinforcement learning.

Thought exercise

Consider these examples of an ML problem that has across-time effects on its models. This time-dependent function of reinforcement learning is where most of the “core pieces”(below) will emerge.

Consider a system that is trying to reduce the churn (ended subscriptions) of a paid online membership. Such a company could…

Nathan Lambert

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