Direct Policy Optimization using Deterministic Sampling and Collocation

Direct, Stochastic Analogues to Deterministic Optimization Methods Using Statistical Filters

Stochastic optimization—those problems that involve random variables—is a fundamental challenge in many disciplines. Unfortunately, current solvers for stochastic optimization restrictively require finiteness by either replacing the original problem with a sample average surrogate, or by having complete knowledge of a finite population. To help alleviate this restriction, we state a general, no...

Markov Chain Monte Carlo Sampling using Direct Search Optimization

Deterministic secure direct communication using entanglement.

A novel secure communication protocol is presented, based on an entangled pair of qubits and allowing asymptotically secure key distribution and quasisecure direct communication. Since the information is transferred in a deterministic manner, no qubits have to be discarded. The transmission of information is instantaneous, i.e., the information can be decoded during the transmission. The securi...

Deterministic Secure Direct Communication Using Mixed State

We show an improved ping − pong protocol which is based on the protocol showed by Kim Bostrom and Timo Felbinger [Phys. Rev. Lett. 89, 187902 (2002)]. We show that our protocol is asymptotically secure key distribution and quasisecure direct communication using a mixed state. This protocol can be carried out with great efficiency and speed with today’s technology, e.g. single photon source and ...

Solving deterministic policy (PO)MDPs using Expectation-Maximisation and Antifreeze

The viewpoint of solving Markov Decision Processes and their partially observable extension refers to finding policies that maximise the expected reward. We follow the rephrasing of this problem as learning in a related probabilistic model. Our trans-dimensional distribution formulation obtains equivalent results to previous work in the infinite horizon case and also rigorously handles the fini...