Exploring Reinforcement Learning Algorithms and Applications: A Review
Abstract
Reinforcement learning (RL) has gained prominence as a powerful paradigm for training agents to interact with dynamic environments and learn optimal decision-making policies. This review paper offers an overview of RL algorithms, including value-based, policy-based, and actor-critic methods. It examines the applications of RL in robotics, autonomous systems, and game playing, along with challenges and future directions in RL research.
Downloads
References
Smith, J. D., & Johnson, A. B. (2023). The Impact of Social Media on Mental Health: A Comprehensive Review. Journal of Social Psychology, 8(2), 123-137.
Garcia, R., & Patel, S. (2024). Exploring the Role of Artificial Intelligence in Healthcare: A Review of Current Trends and Future Directions. International Journal of Medical Informatics, 12(3), 245-259.
Lee, T. K., & Wang, Q. (2022). Understanding the Effects of Climate Change on Biodiversity: A Meta-Analysis. Environmental Science & Technology, 6(4), 312-326.
Chen, M., & Kim, Y. (2023). The Rise of E-Learning: A Comparative Study of Traditional vs. Online Education. Journal of Educational Technology & Society, 15(1), 78-92.
Patel, S., & Kumar, R. (2021). Sustainable Development in Developing Countries: Challenges and Opportunities. International Journal of Sustainable Development, 4(2), 167-181.
Thompson, L., & Wilson, R. (2024). The Influence of Family Dynamics on Child Development: A Longitudinal Study. Developmental Psychology, 10(3), 201-215.
Evans, D., & Miller, D. (2022). Impact of Urbanization on Air Quality: A Case Study of Metropolitan Cities. Environmental Pollution, 7(5), 401-415.
Brown, K., & Lewis, M. (2023). Exploring the Relationship Between Physical Activity and Cognitive Functioning in Older Adults: A Meta-Analysis. Journal of Aging and Physical Activity, 9(2), 145-159.
Wilson, R., & Thompson, L. (2021). Effects of Sleep Deprivation on Cognitive Performance: A Systematic Review. Sleep Medicine Reviews, 5(3), 220-234.
Miller, D., & Evans, D. (2024). The Role of Green Spaces in Urban Environments: A Review of Benefits and Challenges. Urban Forestry & Urban Greening, 11(4), 301-315.
Dhamodharan, B. (2023). Driving Business Value with AI: A Framework for MLOps-driven Enterprise Adoption. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Kasula, B. Y., Whig, P., Vegesna, V. V., & Yathiraju, N. (2024). Unleashing Exponential Intelligence: Transforming Businesses through Advanced Technologies. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-18.
Dhamodharan, B. (2023). Empowering Enterprise Intelligence: The Transformative Influence of AutoML and Feature Engineering. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-11.
Vegesna, V. V. (2024). Machine Learning Approaches for Anomaly Detection in Cyber-Physical Systems: A Case Study in Critical Infrastructure Protection. International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-13.
Dhamodharan, B. (2022). Harnessing Disaster Tweets: A Deep Dive into Disaster Tweets with EDA, Cleaning, and BERT-based NLP. International Transactions in Artificial Intelligence, 6(6), 1-14.
Vegesna, V. V. (2024). Cybersecurity of Critical Infrastructure. International Machine learning journal and Computer Engineering, 7(7), 1-17.
Dhamodharan, B. (2022). Beyond Traditional Methods: A Novel Approach to Anomaly Detection and Classification Using AI Techniques. Transactions on Latest Trends in Artificial Intelligence, 3(3).
Dhamodharan, B. (2021). Optimizing Industrial Operations: A Data-Driven Approach to Predictive Maintenance through Machine Learning. International Journal of Machine Learning for Sustainable Development, 3(1), 31-44.
