General Video Game AI Learning Competition. Reinforcement learning algorithms and tested on the game set of the 2020 Our proposed technique is implemented with three state-of-the-art Simultaneous inputs, aiming at learning local information for playing new Observation is a multi BAFTA-winning (BAFTA Scotland Best Game 2019, BAFTA Best British Game 2020) sci-fi thriller uncovering what happened to Dr. Transformed global and local observations of the game screen as two Instead of directly inputting a single, raw pixel-based screenshot of theĬurrent game screen, our proposed general technique takes the encoded, Similar local information in different levels rather than global information. Then, we present a novel reinforcement learning technique with dual-observationįor general video game playing, assuming that it is more likely to observe Of each game were generated by perturbing or combining two training levels. The training and test levels wereĭesigned separately in the first three editions. At eachĮdition, three new games were designed. The five years' General Video Game AI Learning Competition editions. Game AI Learning Competition aims to develop agents capable of learning to playĭifferent game levels that were unseen during training. Generalisation ability of reinforcement learning algorithms. More and more studies focus on improving the Download a PDF of the paper titled Reinforcement Learning with Dual-Observation for General Video Game Playing, by Chengpeng Hu and 5 other authors Download PDF Abstract: Reinforcement learning algorithms have performed well in playing challengingīoard and video games.
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