Policy Learning approaches are among the best suited methods for high-dimensional, continuous control systems such as anthropomorphic robot arms and humanoid robots. In this paper,...
Abstract. Camellia and MISTY1 are Feistel block ciphers. In this paper, we observe that, when conducting impossible differential cryptanalysis on Camellia and MISTY1, their round s...
Jiqiang Lu, Jongsung Kim, Nathan Keller, Orr Dunke...
We describe a new approximation algorithm for solving partially observable MDPs. Our bounded policy iteration approach searches through the space of bounded-size, stochastic fini...
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...