A Comprehensive Review of Reinforcement Learning: From Classical Frameworks to Deep Learning Paradigms
JinLong Guo · Journal of Engineering Research and Reports · 2026
Reinforcement learning (RL) is a foundational paradigm for sequential decision-making in which agents learn to select actions through interaction with an environment so as to maximise long-term utility under uncertainty. Over several decades, RL has progressed from classical, the...
Open access
Research Article
10.9734/jerr/2026/v28i11779