XCSF with computed continuous action

Wilson introduced XCSF as a successor to XCS. The major development of XCSF is the concept of a computed prediction. The efficiency of XCSF in dealing with numerical input and continuous payoff has been demonstrated. However, the possible actions must always be determined in advance. Yet domains such as robot control require numerical actions, so that neither XCS nor XCSF with their discrete actions can yield high performance. This paper studies computed action in XCSF, where the action is continuous with respect to the input state. In comparison with Wilson's architecture for continuous action, our XCSF version, called XCSFCA, proves to be more efficient. Categories and Subject Descriptors I.2.6 [Artificial Intelligence]: Learning—Concept learning; I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search—Heuristic methods. General Terms Algorithms. Keywords XCSF, continuous actions, evolution strategy.

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Trung Hau Tran, Cédric Sanza, Yves Duthen, Thuc Dinh Nguyen
• Keywords: Artificial Intelligence, Continuous Actions, GECCO 2007, Studies Computed Action