Publication Type : Conference Paper
Publisher : IEEE
Source : 2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
Url : https://doi.org/10.1109/i2ct61223.2024.10543989
Campus : Bengaluru
School : School of Computing
Year : 2024
Abstract : Modern deep Reinforcement Learning (RL) techniques are quite good at choosing the best possible rules to maximise rewards. By using rich visual information for policy selection, this method combined with Deep Learning methodologies shows promise for difficult tasks. In this work, we have used Double DQN and also three variants of Duelling DQN to implement the ice hockey environment. The Duelling DQN outperformed the Double DQN and gave better results.
Cite this Research Publication : Y. Mounika, Y. Lakshmi Prasanna, Y. Tarakaram, J. Amudha, K. Aiswariya Milan, Ice hockey game using Deep Reinforcement Learning, 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), IEEE, 2024, https://doi.org/10.1109/i2ct61223.2024.10543989