Dataset Groups Activity Stream Deep Attention Recurrent Q-Network The Deep Attention Recurrent Q-Network (DARQN) algorithm was tested on several popular Atari 2600 games: Breakout, Seaquest, Space Invaders, Tutankham, and Gopher. BibTex: @dataset{Ivan_Sorokin_and_Alexey_Seleznev_and_Mikhail_Pavlov_and_Aleksandr_Fedorov_and_Anastasiia_Ignateva_2024, abstract = {The Deep Attention Recurrent Q-Network (DARQN) algorithm was tested on several popular Atari 2600 games: Breakout, Seaquest, Space Invaders, Tutankham, and Gopher.}, author = {Ivan Sorokin and Alexey Seleznev and Mikhail Pavlov and Aleksandr Fedorov and Anastasiia Ignateva}, doi = {10.57702/bjccqe78}, institution = {No Organization}, keyword = {'Atari 2600', 'Attention Mechanism', 'Deep Q-Network'}, month = {dec}, publisher = {TIB}, title = {Deep Attention Recurrent Q-Network}, url = {https://service.tib.eu/ldmservice/dataset/deep-attention-recurrent-q-network}, year = {2024} }
