DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

6 code implementations • 9 Jan 2018 • Lex Fridman, Jack Terwilliger, Benedikt Jenik

We present a traffic simulation named DeepTraffic where the planning systems for a subset of the vehicles are handled by a neural network as part of a model-free, off-policy reinforcement learning process.

Autonomous Driving Autonomous Navigation +3

MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation

no code implementations • 19 Nov 2017 • Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Aleksandr Patsekin, Julia Kindelsberger, Li Ding, Sean Seaman, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer

For the foreseeble future, human beings will likely remain an integral part of the driving task, monitoring the AI system as it performs anywhere from just over 0% to just under 100% of the driving.

Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions

1 code implementation • 12 Oct 2017 • Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer

We consider the paradigm of a black box AI system that makes life-critical decisions.

Autonomous Driving General Classification +1

SideEye: A Generative Neural Network Based Simulator of Human Peripheral Vision

no code implementations • 14 Jun 2017 • Lex Fridman, Benedikt Jenik, Shaiyan Keshvari, Bryan Reimer, Christoph Zetzsche, Ruth Rosenholtz

Foveal vision makes up less than 1% of the visual field.