3 papers
cs.LG2025
Signal attenuation enables scalable decentralized multi-agent reinforcement learning over networks
Wesley A Suttle, Vipul K Sharma, Brian M Sadler
Multi-agent reinforcement learning (MARL) methods typically require that agents enjoy global state observability, preventing development of decentralized algorithms and limiting sc…
cs.LG2024
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
Wesley A. Suttle, Vipul K. Sharma, Krishna C. Kosaraju +4
We develop provably safe and convergent reinforcement learning (RL) algorithms for control of nonlinear dynamical systems, bridging the gap between the hard safety guarantees of co…
eess.SY2023
Safe Control Design through Risk-Tunable Control Barrier Functions
Vipul K. Sharma, S. Sivaranjani
We consider the problem of designing controllers to guarantee safety in a class of nonlinear systems under uncertainties in the system dynamics and/or the environment. We define a…