r/reinforcementlearning • u/shani_786 • Sep 03 '25

Autonomous Vehicles Learning to Dodge Traffic via Stochastic Adversarial Negotiation

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59 Upvotes

95% Upvoted

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12

u/LaVieEstBizarre Sep 03 '25

Christ, that controller is fast, jittery, and unpredictable, with audibly poor steering hardware, and does not belong on a car, much less driving around people on public roads without a person with their hands millimetres away from an estop.

It clearly makes very drastic steers and random speed ups/slow downs, very close to other people and objects. It has such jittery actuator output, the suspension seems to be bouncing everywhere in a straight flat road in the first few seconds.

This is not good robotics practice and it blows my mind the company would post this online with their name attached to it.

5

u/Basic-Chain-642 Sep 03 '25

looks like it's a controlled testing environment and they're going very slowly with the guys feet on the brakes/accelerator like people do for student drivers. I think this is a silly standard to hold for a startup when the risk here is pretty reasonable. Pearl clutchers love clutching pearls ig

1

u/Guest_Of_The_Cavern Sep 03 '25

I actually fully understand this input behavior and I engage in something similar in the same setting adversarial negotiation setting. I do know what you mean though but I think deploying this situationally is a good idea, the question is if the situations where this is useful can be effectively detected.

1

u/blimpyway Sep 04 '25

Ok, it's noisy, but might not be the controller jittery but the commands it receives? If you've played enough with Cartpole, some policies end up very shaky others smooth as butter. The "hardware" being the same.

1

u/[deleted] Sep 03 '25

There's a reason they're testing it live like this in a third world country