6533b7dcfe1ef96bd1273244

RESEARCH PRODUCT

Towards a Deep Reinforcement Learning Approach for Tower Line Wars

Morten GoodwinPer-arne AndersenOle-christopher Granmo

subject

EntertainmentCognitive sciencebusiness.industryComputer scienceDeep learningComputingMilieux_PERSONALCOMPUTINGQ-learningReinforcement learningArtificial intelligencebusinessGame player

description

There have been numerous breakthroughs with reinforcement learning in the recent years, perhaps most notably on Deep Reinforcement Learning successfully playing and winning relatively advanced computer games. There is undoubtedly an anticipation that Deep Reinforcement Learning will play a major role when the first AI masters the complicated game plays needed to beat a professional Real-Time Strategy game player. For this to be possible, there needs to be a game environment that targets and fosters AI research, and specifically Deep Reinforcement Learning. Some game environments already exist, however, these are either overly simplistic such as Atari 2600 or complex such as Starcraft II from Blizzard Entertainment.

https://doi.org/10.1007/978-3-319-71078-5_8