Gemini in RoboCup-2000

  • Authors:
  • Masayuki Ohta

  • Affiliations:
  • -

  • Venue:
  • RoboCup 2000: Robot Soccer World Cup IV
  • Year:
  • 2001

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Abstract

We implemented "Gemini" a client program for the SoccerServer. The objective of this program is testing a lot of learning methods on multi-agent environments. In the current implementation, Gemini can select the most effective strategy for an enemy, using reinforcement learning. Furthermore, we are trying to implement a meta-level learning, which turn each learning function on or off according to whether the learning succeed or not.