Author

Brandon Kaplowitz

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Preprint Sep 2026

Epsilon-Nash Equilibria in History-Dependent SA-MDPs

We study state-adversarial Markov decision processes (SA-MDPs) as games of observation-space attacks: at each step, an agent selects an action from a received observation while an adversary$\unicode{x2014}$who knows the true state the agent is in$\unicode{x2014}$chooses a perturbed observation within a state-dependent...

Brandon Kaplowitz, Dominik Bohnet Zurcher, Akash Agrawal et al. · 0 citations

#artificial intelligence Preprint Sep 2026

MA-JEPA: Joint-Embedding World Models for Multi-Agent Reinforcement Learning

World models improve sample efficiency by training policies on imagined trajectories, but their usefulness depends on learning representations that capture the information needed for future control. We study whether self-supervised joint-embedding prediction (JEPA) can provide this learning signal for multi-agent reinf...

Brandon Kaplowitz, Osaze James Obahor, C. S. D. Witt · 0 citations