Sökning: "AlphaZero"
Visar resultat 1 - 5 av 10 uppsatser innehållade ordet AlphaZero.
1. Using search based methods for beamforming
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. LÄS MER
2. Exploring Game Balance and Tactics with AI in the Educational Wargame Counter-Air
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This report describes a study of the game balance of the wargame Counter-Air,using the artificial intelligence model AlphaZero. The project also analyzed the most effectivestrategies in the game regarding allocation of pieces to a set number of roles. Counter-Air is a board game being developed for use in tactical training of military officers. LÄS MER
3. Aerial Combat in the Educational Wargame Counter Air With AlphaZero
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This report investigates the game balance of Philip Sabin's educational wargameCounter Air using AlphaZero and MCTS. The results show that the attacking side has theadvantage and finds a better strategy faster than the defender. LÄS MER
4. Exploring the effects of state-action space complexity on training time for AlphaZero agents
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : DeepMind’s development of AlphaGo took the world by storm in 2016 when it became the first computer program to defeat a world champion at the game of Go. Through further development, DeepMind showed that the underlying algorithm could be made more general, and applied to a large set of problems. LÄS MER
5. Deep Reinforcement LearningA case study of AlphaZero
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Using deep neural networks for reinforcement learning has proven very successful, as demonstrated by the AlphaZero algorithm developed by DeepMind in 2018. This algorithm is capable of mastering two-player zero-sum board games entirely by playing against itself. LÄS MER