Author

Kshitij Jerath

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#artificial intelligence Preprint Oct 2026

Optimizing Team Behavior via Extremum-seeking Control in Multi-agent Reinforcement Learning

In cooperative Multi-Agent Reinforcement Learning (MARL), agents must learn to coordinate their actions to achieve shared objectives. A key indicator of effective coordination is behavioral diversity, i.e., the agents'potential to enact distinct yet complementary control policies given the same set of observations. Alt...

Svar Rajankumar Patel, Kshitij Jerath · 0 citations

Jul 2026

S3: Stable Subgoal Selection by Constraining Uncertainty of Coarse Dynamics in Hierarchical Reinforcement Learning

This paper proposes to use coarse dynamics, i.e., environment transitions aggregated over multiple steps at the temporal scale at which the high-level agent operates, which stabilizes the high-level policy by learning to minimize the predictive uncertainty associated with the coarse dynamics, and provides a guided stru...

K. Srivastava, Kshitij Jerath · arXiv.org · 0 citations