Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
This paper describes the implementation of an enforcement module for file system security implemented as part of a security architecture for distributed systems which enforces a c...
This paper describes a method for structuring a robot motor learning task. By designing a suitably parameterized policy, we show that a simple search algorithm, along with biologi...
Several formal languages have been proposed to encode privacy policies, ranging from the Platform for Privacy Preferences (P3P), intended for communicating privacy policies to con...
In this paper, we describe recent work in developing a peer-topeer collaborative environment. The study examines various locking mechanisms/policies by adjusting the granularity o...