Reinforcement Learning for Agents

Learn how to apply reinforcement learning techniques to build and optimize intelligent agents in this conference talk recorded live at the AI Engineer Summit 2025. Explore the fundamental principles of reinforcement learning and discover practical approaches for training agents to make sequential decisions in complex environments. Gain insights from Will Brown, a machine learning researcher at Morgan Stanley's Machine Learning Research group, who shares his expertise in language models and sequential prediction. Understand how reinforcement learning can be leveraged to create more effective autonomous systems and decision-making agents. Discover real-world applications and implementation strategies that bridge the gap between theoretical reinforcement learning concepts and practical agent development in production environments.