We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
We study the problem of asset and liability management of participating insurance policies with guarantees. We develop a scenario optimization model for integrative asset and liab...
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
People accessing documents via the Internet typically experience latencies in retrieving content. We discuss continual-computation policies that dictate strategies for prefetching...
We describe a new attack against web authentication, which we call dynamic pharming. Dynamic pharming works by hijacking DNS and sending the victim’s browser malicious Javascrip...
Chris Karlof, Umesh Shankar, J. Doug Tygar, David ...