Microsoft Research Webinar Series
Microsoft Research Webinar
Exploring Reinforcement Learning Methods from Algorithm to Application
Reinforcement learning (RL) is a systematic approach to learning and decision making under uncertainty. Developed and studied for decades, recent combinations of RL with modern deep learning have led to impressive demonstrations of the capabilities of today's RL systems, and these new combinations have fueled an explosion of interest and research activity.
In this webinar led by Microsoft researcher Dr. Katja Hofmann, a Principal Researcher in the Game Intelligence group at Microsoft Research Cambridge, learn about the foundations of RL—elegant ideas giving rise to agents that can learn extremely complex behaviors in a wide range of settings. In the broader perspective, gain an overview of where we currently stand in terms of what is possible in RL from the researcher's perspective. The webinar concludes with an outlook on key opportunities—both for future research and real-world applications of RL.
Together, you'll explore:
- Why a Markov Decision Process is a simple yet powerful abstraction for reinforcement learning problems
- How to model a task as a reinforcement learning problem
- The challenge of balancing exploration and exploitation in reinforcement learning
- One of the fundamental approaches to reinforcement learning problems, Q-Learning, and how it solves the credit assignment problem
- Q-learning with function approximation
Dr. Katja Hofmann completed her PhD in Computer Science as part of the ILPS group at the University of Amsterdam. She worked with Maarten de Rijke and Shimon Whiteson on interactive machine learning algorithms for search engines. At Microsoft Dr. Hofmann leads a research team that focuses on reinforcement learning with applications in modern video games. She and her team strongly believe that modern video games will drive a transformation in how we interact with AI technology.
One of the projects developed by her team is Project Malmo which uses the popular game Minecraft as an experimentation platform for developing intelligent technology. Dr. Hofmann’s long-term goal is to develop AI systems that learn to collaborate with people, to empower their users, and to help solve complex real-world problems.