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Machine learning state evaluation in prismata
Strategy games are a unique and interesting testbed for AI protocols due their complex rules and large state and action spaces. Recent work in game AI has shown that strong, robust AI agents can be created by combining existing techniques of deep learning and heuristic search. Heuristic search techniques typically make use of an evaluation function to judge the value of a game state, however these functions have historically been hand-coded by game experts. Recent results have shown that it isdoi:10.48336/2age-wf61 fatcat:gpxjuirmyjerfkvhz7ejplsdai