Błażej Osiński - Toward Efficient Machine Learning For Sequential Decision Making | ML in PL 23 скачать в хорошем качестве

Błażej Osiński - Toward Efficient Machine Learning For Sequential Decision Making | ML in PL 23

In this talk, I will present my personal journey toward developing efficient machine learning methods for sequential decision making. This journey spans both academia and industry, tackling diverse challenges that range from Atari games to autonomous driving and robotics. Why should we care about efficient methods for sequential decision making? If we observe the progress of artificial intelligence over the last few decades, it has managed to ascend what were perceived as pinnacles of human intelligence. From chess and Go to StarCraft and No Limit Texas Hold'em, machines have toppled human champions. The emergence of large language models extends this progress to more open-ended challenges. Despite these successes, when it comes to physical interactions with the real world, the achievements of AI are less remarkable. For instance, despite three decades of research, multi-fingered robotic hands are still far less dexterous than those of an average human child. The comparatively slower advancements in the realm of physical interactions can largely be attributed to the massive data requirements of contemporary machine learning methods. Advancements in efficiency could pave the way for truly practical robots capable of alleviating our household chores, rather than just beating us in games or eyeing our jobs. Błażej is a machine learning researcher with experience in sequential decision-making problems (reinforcement learning, imitation learning). He is about to graduate with a Ph.D. from the University of Warsaw. He has divided his time between academia and industry, having affiliations with institutions such as Lyft Level 5, Google Brain, and the University of California, Berkeley. He is now pivoting to the ambitious endeavor of explaining cellular biology with machine learning working for Altos Labs. The talk was delivered during ML in PL Conference 2023 as a part of Contributed Talks. The conference was organized by a non-profit NGO called ML in PL Association. ML in PL Association website: https://mlinpl.org/ ML In PL Conference 2023 website: https://conference2023.mlinpl.org/ ML In PL Conference 2024 website: https://conference.mlinpl.org/ --- ML in PL Association was founded based on the experiences in organizing of the ML in PL Conference (formerly PL in ML), the ML in PL Association is a non-profit organization devoted to fostering the machine learning community in Poland and Europe and promoting a deep understanding of ML methods. Even though ML in PL is based in Poland, it seeks to provide opportunities for international cooperation.