There’s a new paper out this week from a team of researchers out of UC Berkeley and elsewhere titled “Reinforcement Learning Based Oscillation Dampening.” Agents taught to reduce the peaks of troughs of waves through positive and negative feedback sounds awfully technical and academic. But the real world application they built and tested their system against is very relatable: the traffic jams that seemingly emerge at random on highways, costing every driver involved time and money even though there’s no apparent blockage of the actual roadway.
The algorithms are coming for physical reality
The algorithms are coming for physical…
The algorithms are coming for physical reality
There’s a new paper out this week from a team of researchers out of UC Berkeley and elsewhere titled “Reinforcement Learning Based Oscillation Dampening.” Agents taught to reduce the peaks of troughs of waves through positive and negative feedback sounds awfully technical and academic. But the real world application they built and tested their system against is very relatable: the traffic jams that seemingly emerge at random on highways, costing every driver involved time and money even though there’s no apparent blockage of the actual roadway.