Learning adaptive safety for multi-agent systems
Ensuring safety in dynamic multi-agent systems is challenging due to limited information
about the other agents. Control Barrier Functions (CBFs) are showing promise for safety …
about the other agents. Control Barrier Functions (CBFs) are showing promise for safety …
Safe perception-based control under stochastic sensor uncertainty using conformal prediction
We consider perception-based control using state estimates that are obtained from high-
dimensional sensor measurements via learning-enabled perception maps. However, these …
dimensional sensor measurements via learning-enabled perception maps. However, these …
Safe and robust multi-agent reinforcement learning for connected autonomous vehicles under state perturbations
Sensing and communication technologies have enhanced learning-based decision making
methodologies for multi-agent systems such as connected autonomous vehicles (CAV) …
methodologies for multi-agent systems such as connected autonomous vehicles (CAV) …
Funnel-based reward shaping for signal temporal logic tasks in reinforcement learning
Signal Temporal Logic (STL) is a powerful framework for describing the complex temporal
and logical behaviour of the dynamical system. Numerous studies have attempted to employ …
and logical behaviour of the dynamical system. Numerous studies have attempted to employ …