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The Autonomous Learning and Predictive Intelligence (ALPI) lab works to build new algorithms to solve sequential decision-making problems. The research interest mostly focuses on theoretical Reinforcement Learning, Imitation Learning, and Multi-Agent learning, but we are also interested in every principled learning algorithm. With a commitment to creating reliable and efficient solutions, our ultimate goal is to address real-world challenges. Our works are presented at major machine-learning conferences such as NeurIPS, ICML, ICLR, AAMAS, AAAI, or AISTATS.