Affiliation:
1. Széchenyi István University, Győr, Hungary
Funder
Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, through the “Nemzeti Laboratóriumok pályázati program” Funding Scheme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Reference31 articles.
1. Playing Atari with deep reinforcement learning;Mnih;arXiv:1312.5602,2013
2. StarCraft II: A new challenge for reinforcement learning;Vinyals;arXiv:1708.04782,2017
3. Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
4. Grandmaster level in StarCraft II using multi-agent reinforcement learning
5. Dota 2 with large scale deep reinforcement learning;Berner;arXiv:1912.06680,2019