55 citations · 122 across the 15 of their papers we have counts for
3 papers · 1 filter
Cooperative Tuning of Multi-Agent Optimal Control Systems
Zehui Lu, Wanxin Jin, Shaoshuai Mou +1
This paper investigates the problem of cooperative tuning of multi-agent optimal control systems, where a network of agents (i.e. multiple coupled optimal control systems) adjusts…
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao +6
It is quite challenging to ensure the safety of reinforcement learning (RL) agents in an unknown and stochastic environment under hard constraints that require the system state not…
Neural Certificates for Safe Control Policies
Wanxin Jin, Zhaoran Wang, Zhuoran Yang +1
This paper develops an approach to learn a policy of a dynamical system that is guaranteed to be both provably safe and goal-reaching. Here, the safety means that a policy must not…