Search papers, labs, and topics across Lattice.
4
0
3
A single learned policy can safely coordinate multiple drones in dynamic environments, outperforming existing methods in safety and scalability.
Historical failure records can be transformed into diverse testing scenarios for autonomous driving, revealing critical system vulnerabilities with minimal effort.
Decomposing Bellman values into a graph of simpler objectives lets agents master complex, high-dimensional tasks with less tuning and better safety.
Forget hand-engineering initial conditions for robust RL: this method *learns* which conditions are feasible while simultaneously training a safe policy.
