AI Researchers face the challenge of obtaining sufficient test data to evaluate new systems for learning agent control. There are various factors such as cost and long development cycles which can dampen the progress of AI research when testing methods on actual robots. Methods for autonomous agent learning can be tested in interactive game environments as long as control of individual agents can be enabled and there is a reasonable means of testing the success of the agent controllers. Xpilot-AI is introduced as an effective testbed for rapid development of intelligent control systems. Xpilot-AI provides an easy to use, inexpensive and flexible test environment.
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