2 papers
cs.RO2026
Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigation
Lorenzo Ortolani, Gabriel Voss, Gabriele Beltrami +2
Real-time autonomous navigation in dynamic, unknown environments remains a fundamental challenge for mobile robotics. We propose a map-free framework that tightly integrates reacti…
cs.CL2026
LLMs for Game Theory: Entropy-Guided In-Context Learning and Adaptive CoT Reasoning
Tommaso Felice Banfi, Sashenka Gamage
We propose a novel LLM-based framework for reasoning in discrete, game-theoretic tasks, illustrated with \emph{Tic-Tac-Toe}. The method integrates in-context learning with entropy-…