Research on self-adaptive decision-making mechanism for competition strategies in robot soccer

Author:

Shi Haobin,Xu Lincheng,Zhang Lin,Pan Wei,Xu Genjiu

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Reference21 articles.

1. Ros R, Arcos J L, Lopez deMantaras R. A case-based approach for coordinated action selection in robot soccer. Artificial Intelligence, 2009, 173: 1014–1039

2. Ahmadi M, Stone P, Instance-based action models for fast action planning. In: Visser U, Ribeiro F, Ohashi T, Dellaert F, eds. RoboCup 2007: robot soccer world cup XI. Heidelberg: Springer Verlag, 2008: 1–16

3. Zhang L, Shi H B, Wu J B. Applying intelligent confrontation decisionmaking system to robot soccer based on improved cbr(case-based reasoning). Journal of Northwestern Polytechnic University, 2013(6): 991–996

4. Hwang K S, Jiang W C, Yu H H, Lin S Y. Reinforcement learning in zero-sum markov games of robot soccer systems. Mobile Robots, 2011: 289–308

5. Kleiner A, Dietl M, Nebel B. Towards a life-long learning soccer agent. RoboCup 2002: robot soccer world cup VI. Springer, 2003: 126–134

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