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Author

Rajat Verma

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Review Open access Aug 2026

Mathematical Foundations of Reinforcement Learning and Stochastic Control Systems

The paper concludes that convergence guarantees degrade in a predictable, representation-dependent order as function approximation grows more expressive, and identifies extending stochastic approximation theory to nonlinear function approximation as the central future research prospect.

S. Kulkarni, C. Ashwini, M. Buvanasankari et al. · 0 citations
Review Open access Aug 2026

Graph Theory Models for Complex Network Analysis and Intelligent System Design

The paper concludes that intelligent system design increasingly depends on selecting a graph-theoretic representation and analysis method whose structural assumptions match the target network's actual generative structure, rather than applying a single default graph model universally.

Ashish Kulkarni, Rajat Verma, M. V. Kumar et al. · 0 citations

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