Existing mandatory access control systems for operating systems are difficult to use. We identify several principles for designing usable access control systems and introduce the...
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
It is due to the modularity they provide that results for cascaded systems have proved their utility in numerous control applications as well as in the development of general cont...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Given a nominal plant, together with a fixed neighborhood of this plant, the problem of robust stabilization is to find a controller that stabilizes all plants in that neighborh...