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Title: :  FLAP-AI BIRD
PaperId: :  26565
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26565
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ramya BNJyothy Institute Of Technology
Chandana C GowdaJyothy Institute Of Technology
ShubhashreeJyothy Institute Of Technology
Yashwanth LJyothy Institute Of Technology
Poojitha K.BJyothy Institute Of Technology

Abstract

Artificial Intelligence and Machine Learning
research methodology, engineering innovation, academic publishing, manuscript formatting, journal submission, scientific writing, IJARIIE, paper structure
This study presents the application of Deep Q-Learning, a variant of Deep Reinforcement Learning (DRL), for training an AI agent to play the game Flappy Bird autonomously. Flappy Bird, due to its dynamic and continuous environment, poses a challenge that tests real-time decision-making capabilities. The proposed approach utilizes a Deep Q-Network (DQN) which leverages convolutional neural networks (CNNs) to estimate Q-values directly from pixel input. Core components such as experience replay, target networks, and epsilon-greedy policies are integrated to ensure stable and efficient learning. Extensive experimentation highlights how varying hyperparameters such as learning rate, replay buffer size, and exploration rates impact convergence and gameplay efficiency. The final agent demonstrates robust decision-making, achieving high scores consistently, and provides insights into DRL's applicability in constrained, real-time environments.

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IJARIIE Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B. "FLAP-AI BIRD" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 1133-1139
MLA Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B. "FLAP-AI BIRD." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 1133-1139.
APA Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, & Poojitha K.B. (2025). FLAP-AI BIRD. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 1133-1139.
Chicago Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B. "FLAP-AI BIRD." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 1133-1139.
Oxford Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B. 'FLAP-AI BIRD', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 1133-1139. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/FLAP_AI_BIRD_ijariie26565.pdf (Accessed : ).
Harvard Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B. (2025) 'FLAP-AI BIRD', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 1133-1139IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/FLAP_AI_BIRD_ijariie26565.pdf (Accessed : )
IEEE Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B, "FLAP-AI BIRD," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 1133-1139, May-Jun 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/FLAP_AI_BIRD_ijariie26565.pdf [Accessed : ].
Turabian Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B. "FLAP-AI BIRD." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Ramya BN, Chandana C Gowda, Shubhashree, Yashwanth L, and Poojitha K.B. FLAP-AI BIRD. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 1133-1139. Available from: http://ijariie.com/AdminUploadPdf/FLAP_AI_BIRD_ijariie26565.pdf
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