PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
One of the main problems in applying evolutionary optimisation methods is the choice of operators and parameter values. This paper propose a competitive evolution method, in which ...
This paper presents a method for evaluating functions in hardware based on polynomial approximation with non-uniform segments. The novel use of nonuniform segments enables us to ap...
Dong-U Lee, Wayne Luk, John D. Villasenor, Peter Y...
This paper presents a novel method for automatic evaluation of conversational agents. In the method, information about users’ attitudes and sentiments to conversational agents a...
Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi,...
There is a number of recent research lines addressing complex negotiations in highly rugged utility spaces. However, most of them focus on overcoming the problems imposed by the c...