Data-driven approaches to self-driving Self-driving technology promises to improve safety on roads, reduce costs of transportation, and, last but not least, save us a lot of time behind the wheel. Even though first real-world deployments exist, the technology is still […]
Everything is Connected (especially Planning) Autonomous vehicle (AV) software stacks often form a feed-forward pipeline of components: perception to prediction and then planning. Such architectures help to “divide and conquer” the difficult problem of autonomous driving, where each component can […]
Hindsight Off-policy Options – Disentangling Abstractions in the Option Framework Deep reinforcement learning has seen numerous successes in recent years (e.g. Go, Chess, Atari, StarCraft), but still faces challenges in domains with limited data access. We will discuss the perspective […]
