Searching for Solutions in Games and Artificial Intelligence - Free
In this paper, we propose multi-stage TD (MS-TD) learning, a kind of hierarchical reinforcement learning method, to effectively improve the performance for the ...
The Mechanics of n-Player Differentiable GamesAbstract: In the paper we present a game-learning program called CHECKERS. The program contains a neural network that is trained on the basis of obtained ... Temporal Difference Learning of Position Evaluation in the Game of ...We demonstrate our new approach on the game miniXCOM, a simplified version of XCOM, a popular commercial franchise consisting of several turn-based tactical ... TD(?) LEARNING APPLIED FOR DETERMINISTIC GAMEThis paper investigates the geometrical properties of real world games (e.g. Tic-Tac-. Toe, Go, StarCraft II). We hypothesise that their geometrical ...
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