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They have? That's the approach they are using? Because that doesn't mesh well with practical reality. Where AGI use Deep RL, it's to improve on vision tasks lik
by stefan_ 4y ago
They have? That's the approach they are using? Because that doesn't mesh well with practical reality. Where AGI use Deep RL, it's to improve on vision tasks like object classification, none of them are making any driving decisions - that seems to remain the domain of I guess you could call it discrete logic.
- robotresearcher 4y agoHere's a survey paper from this year on Deep RL for autonomous driving. https://ieeexplore.ieee.org/document/9351818 https://ieeexplore.ieee.org/document/9351818 B. R. Kiran et al., "Deep Reinforcement Learning for Autonomous Driving: A Survey," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 6, pp. 4909-4926, June 2022, doi: 10.1109/TITS.2021.3054625. I haven't read the paper, so this is not a reading recommendation. Just posting as evidence that there is work in the area.