Robonaissance
HugoA new renaissance in AI and robotics. Navigating the intelligence revolution.
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 105 | Founded | 6 months ago | Last Issue | 4 days ago |
| Active | |||||
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The Journey of RL, Part 8: The Human Turn
RLHF was not the addition of human feedback to reinforcement learning. It was the moment reward stopped being given and started being learned.
In 2017, a simulated robot taught itself to do a backflip, and the only thing it was ever told a...
The Journey of RL, Part 7: The First Cracks
Three different attempts to rescue reward. Three different admissions that reward was the problem.
The boat was on fire, and it was winning. In 2016, a team at OpenAI set a reinforcement learning agent loose on a video game called CoastRun...
The Journey of RL, Part 6: The Brain in the Loop
Reinforcement learning and neuroscience read each other for forty years. The conversation reveals that reward in biology was never the simple scalar RL had imported.
In the early 1990s, in a laboratory at the University of Fribourg in Swit...
The Journey of RL, Part 5: The Internal Model
Self-play and world models converge on a single idea. When an agent has a model of the thing it is optimizing against, the reward signal can come from inside.
For thirty-six moves, the second game looked ordinary. Lee Sedol, the strongest...
The Journey of RL, Part 4: The Exploration Question
Before an agent can optimize anything, it has to figure out what is worth measuring. Exploration is the part of reinforcement learning that admits the agent does not yet know what to optimize.
By 2015, the deep Q-network could play Atari a...
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The writers behind this newsletter.
Former AI researcher at Google. Writing about a new renaissance in AI and robotics.
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