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Synthesizing Reactive Character Behaviors for Continuous Games via Programmatic Policy Search
We present a method for synthesizing reactive character behaviors for continuous games as compact, human-readable programs. Game AI practice still relies heavily on manually authored behavior trees, state machines, and scripts, while academic reinforcement learning typically produces opaque neural c
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