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View all- Hauptman AFlathmann CMcNeese N(2024)Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomyApplied Ergonomics10.1016/j.apergo.2024.104336120(104336)Online publication date: Oct-2024
This paper evaluates the performance of Monte-Carlo Tree Search (MCTS) in a fighting game AI and proposes an improvement for the algorithm. Most existing fighting game AIs rely on rule bases and react to every situation with predefined actions, making ...
Real-time video game problems are very challenging because of short response times and numerous state space issues. As global companies and research institutes such as Google, Facebook, Intel and Carnegie Mellon university continue to develop Artificial ...
Monte Carlo tree search (MCTS) is a general approach to solving game problems, playing a central role in Google DeepMind's AlphaZero and its predecessor AlphaGo, which famously defeated the (human) world Go champion Lee Sedol in 2016 and world #1 Go ...
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