316 citations · 611 across the 7 of their papers we have counts for
9 papers
FORMICA: Decision-Focused Learning for Communication-Free Multi-Robot Task Allocation
Antonio Lopez, Jack Muirhead, Carlo Pinciroli
Most multi-robot task allocation methods rely on communication to resolve conflicts and reach consistent assignments. In environments with limited bandwidth, degraded infrastructur…
Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models
Jorge Daniel Rodríguez-Vidal, Gabriel Villalonga, Diego Porres +1
End-to-End Autonomous Driving (E2E-AD) systems are typically grouped by the nature of their outputs: (i) waypoint-based models that predict a future trajectory, and (ii) action-bas…
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
Antonio Lopez, David Fridovich-Keil
Recent methods using Reinforcement Learning (RL) have proven to be successful for training intelligent agents in unknown environments. However, RL has not been applied widely in re…
Scaling Vision-based End-to-End Driving with Multi-View Attention Learning
Yi Xiao, Felipe Codevilla, Diego Porres +1
On end-to-end driving, human driving demonstrations are used to train perception-based driving models by imitation learning. This process is supervised on vehicle signals (e.g., st…
Action-Based Representation Learning for Autonomous Driving
Yi Xiao, Felipe Codevilla, Christopher Pal +1
Human drivers produce a vast amount of data which could, in principle, be used to improve autonomous driving systems. Unfortunately, seemingly straightforward approaches for creati…
Multimodal End-to-End Autonomous Driving
Yi Xiao, Felipe Codevilla, Akhil Gurram +2
A crucial component of an autonomous vehicle (AV) is the artificial intelligence (AI) is able to drive towards a desired destination. Today, there are different paradigms addressin…