Optimality Criterion
Optimality criteria define the best solution to a problem, guiding the development of algorithms and models across diverse fields. Current research focuses on developing efficient methods to find optimal solutions, employing neural networks, particularly deep learning architectures, and refined algorithms like value iteration with anchoring to accelerate convergence. These advancements are impacting various applications, from optimizing industrial processes like CO2 capture to improving the efficiency and autonomy of spacecraft navigation and reinforcement learning agents, ultimately leading to more effective and resource-conscious solutions.
Papers
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