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Skanda Vaidyanath

Staff Research Scientist

Riot Games AI Accelerator

About

I am a Staff Research Scientist at Riot Games AI Accelerator. I conduct AI research for gaming applications and work on reinoforcement learning and large language models.

Before I joined Riot, I graduated from Stanford University with a master’s in computer science (AI track).

My research interests lie primarily in the area of reinforcement learning (RL) and control. Through my research, I hope to gain a better understanding of how machines learn and try to make them learn tasks in the same way humans do. My long-term goal would be to develop machines that understand and approach learning tasks in the same way that a human would and can generalize to a variety of settings.

I’ve been fortunate to have had the opportunity to work with Dr. Dileep George, Prof. Dorsa Sadigh, Prof. Stefano Ermon, Dr. Sriram Rajamani, and several other outstanding advisors in the past.

If you are interested in my work or would like to chat about technical interests we might share, feel free to get in touch!

Interests

  • Reinforcement Learning
  • Natural Language Processing

Education

  • MS in Computer Science, AI track, 2023

    Stanford University

  • BE (Hons) in Computer Science with a Minor in Data science, 2020

    BITS Pilani, Hyderabad Campus

Blog Posts

An Overview of Bandits

In this post, we will take a look at the bandit problem and discuss some solution strategies. This is a fairly introductory overview so …

Inverse Reinforcement Learning

This is a review of the paper Algorithms for Inverse Reinforcement Learning. I recommend some reinforcement learning (RL) basics before …

Modeling RL Problems

Disclaimer: The content for this article does not come from any textbook or other reliable sources. They are observations made purely …

Bridging the Gaps With Reinforcement Learning

In this post, I will be talking about a unique way to use reinforcement learning (RL) in deep learning applications. I definitely …