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Focuses on designing formally correct intermittent systems in batteryless systems powered intermittently, addressing challenges and strategies for ensuring correctness.
Covers Solver-Aided Programming, integrating SMT solvers for program verification, synthesis, and debugging, along with challenges in building solver-aided tools.
Explores learning interactive policies from non-traditional sources of data for autonomous systems, including language-informed latent actions and the PLATO framework.
