Ontology type: schema:Chapter
2006
AUTHORSByeong Heon Cho , Sung Hoon Jung , Kwang-Hyun Shim , Yeong Rak Seong , Ha Ryoung Oh
ABSTRACTIn this paper, we investigate reinforcement learning (RL) of intelligent characters, based on neural network technology, for fighting action games. RL can be either on-policy or off-policy. We apply both schemes to tabula rasa learning and adaptation. The experimental results show that (1) in tabula rasa leaning, off-policy RL outperforms on-policy RL, but (2) in adaptation, on-policy RL outperforms off-policy RL. More... »
PAGES310-313
Entertainment Computing - ICEC 2006
ISBN
978-3-540-45259-1
978-3-540-45261-4
http://scigraph.springernature.com/pub.10.1007/11872320_39
DOIhttp://dx.doi.org/10.1007/11872320_39
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