Author

Arun Kanhai

h-index 0 View on Semantic Scholar

We have 3 of 3 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Jul 2026

Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching&COA generation

COA-Bench is presented, a small offline benchmark and reproducibility artifact for comparing COA generation policies through self-play, which represents COAs as typed action chains with conditional branches, assigns a synthetic COA quality score, and scores doctrinal coherence with an FM 3-0-inspired heuristic rubric.

Natan Vidra, Alina Kapanova, Arun Kanhai et al. · 0 citations

Preprint Jul 2026

Learning Compositional Meta-Routing for Agentic Workflows: An Executable Benchmark

This work introduces an executable benchmark and a budget-aware meta-router that composes heterogeneous operations from raw task text that establishes a reproducible testbed and a bounded proof of concept, not evidence of live-LLM performance.

Natan Vidra, Alina Kapanova, Arun Kanhai et al. · 0 citations

Preprint Jul 2026

MetaRoute-Bench: Evaluating Meta-Decision Policies for Agentic Workflow Routing

This work presents MetaRoute-Bench, an open, inspectable framework for comparing meta-decision policies under a shared execution model, and releases task generation, policies, traces, tests, and analysis artifacts to support live-system validation.

Natan Vidra, Alina Kapanova, Arun Kanhai et al. · 0 citations