Tesla Bot Dance Moves: Tesla makes significant progress in simulation training with reinforcement learning

Chris

RATH Rascal
Admin
Tesla have just showcased their latest Optimus update, demonstrating Optimus’s impressive dancing abilities.

Tesla achieved these results by training Optimus in a simulated setting using reinforcement learning, also known as RL. This approach involves an AI agent acquiring optimal behaviour by experimenting and learning from mistakes in a virtual space.

Tesla have refined their simulation training in recent months, enabling exponential scaling to new behaviours with minimal errors when going from simulation to real world scenarios.

Although the dancing might seem trivial fun, it demonstrates Tesla’s ability to create AI solutions for Optimus that will serve practical applications in future.

Interestingly Musk notes the version of Optimus we are currently seeing does not represent the final hardware version expected when Optimus is production ready. And that Optimus is capable of continuous operation, running autonomously at Tesla’s offices.

With Cortex 2.0 currently being built, it seems Optimus’s capabilities will be beyond anything we could have ever imagined.

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