Cognitive Computing A research blog by Ashwin Ram, PhD

Some domains, such as real-time strategy (RTS) games, pose several challenges to traditional planning and machine learning techniques. In this paper, we present a novel on-line case-based planning architecture that addresses some of these problems. Our architecture addresses issues of plan acquisition, on-line plan execution, interleaved planning and execution and on-line plan adaptation. We also introduce the Darmok system, which implements this architecture in order to play Wargus (an open source clone of the well-known RTS game Warcraft II). We present empirical evaluation of the performance of Darmok and show that it successfully learns to play the Wargus game.

Read the paper:

On-Line Case-Based Planning

by Santi Ontañón, Neha Sugandh, Kinshuk Mishra, Ashwin Ram

www.cc.gatech.edu/faculty/ashwin/papers/er-09-08.pdf
www3.interscience.wiley.com/journal/123263882/abstract