Dhruva Tirumala: Using behavior priors for data efficiency in Reinforcement Learning

Bio

Dhruva Tirumala obtained his Master's degree in Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU) in 2016. After this, he joined DeepMInd in London as a research engineer in 2016 and joined the UCL-DeepMind PhD program in 2019. He is co-advised by Dr. Nicolas Heess at DeepMind and Prof. Danail Stoyanov at UCL. His research focuses on applying reinforcement learning techniques to problems in control. Specifically, his interests lie in incorporating data or other forms of prior knowledge within the reinforcement learning framework to solve real world problems.