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cs.LG2025
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)
Noel Brindise, Vijeth Hebbar, Riya Shah +1
In this work, we provide an extended discussion of a new approach to explainable Reinforcement Learning called Diverse Near-Optimal Alternatives (DNA), first proposed at L4DC 2025.…
math.OC2025
Revisiting Regret Benchmarks in Online Non-Stochastic Control
Vijeth Hebbar, Cédric Langbort
In the online non-stochastic control problem, an agent sequentially selects control inputs for a linear dynamical system when facing unknown and adversarially selected convex costs…