A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
K. Murphy
A comprehensive overview of deep reinforcement learning and sequential decision making, covering value-based, policy-based, model-based, multi-agent, and LLM-related methods.
Joseph Mitola, Gerald Q. Maguire
Cognitive radio extends software radio with model-based reasoning about radio etiquette to enable intelligent, user-aware spectrum use.
Xiaoyuan Su, Taghi M. Khoshgoftaar
A comprehensive survey of collaborative filtering techniques, categorizing them into memory-based, model-based, and hybrid approaches while addressing key challenges like data sparsity and scalability.
William J. Murdoch, Chandan Singh, Karl Kumbier, et al.
This paper defines interpretability in machine learning via the PDR framework (predictive accuracy, descriptive accuracy, relevancy) and categorizes interpretation methods into model-based and post hoc types.