Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning

Join us for an insightful workshop on decision-making from offline datasets to online adaptation in various settings including black-box optimization, contextual bandits, RL, and synergies between them. Dive into their use in application domains including natural sciences (e.g., materials and drug discovery), engineering (e.g., chip design), healthcare, education, recommender systems, agriculture, and more.