Talks & Seminars
Title: Tutorial: An Introduction to Reinforcement Learning
Shivaram Kalyanakrishnan, Yahoo! Labs, Bangalore
Date & Time: October 29, 2013 15:30
Venue: LCH 31 Lecture Hall Complex
From controlling elevators to trading stocks and playing board games, a wide array of tasks occurring in practice involve sequential decision making. This tutorial will introduce reinforcement learning (RL), the problem of performing sequential decision making based on trial and error. We will gain familiarity with the topic through examples, while also considering the formal abstraction of a Markov Decision Problem. We will then visit Bellman's Equations, which inspire natural algorithms for planning and learning. To conclude, we will list the main challenges involved in applying RL algorithms in practice.
Speaker Profile:
Shivaram Kalyanakrishnan is a scientist at Yahoo Labs Bangalore. His primary research interests lie in the fields of artificial intelligence and machine learning, spanning areas such as reinforcement learning, agents and multiagent systems, humanoid robotics, multi-armed bandits, and on-line advertising. He obtained his Ph.D. in Computer Science from the University of Texas at Austin (2011), and his B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Madras (2004). He has extensively used robot soccer as a test domain for his research, and has actively contributed to initiatives such as RoboCup and the Reinforcement Learning competitions.
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