Tom Schaul
Google DeepMind senior staff research scientist and RL team lead; Prioritized Experience Replay author
- Senior staff research scientist; leads a reinforcement learning team, Google DeepMind12
Tom Schaul is a senior staff research scientist at Google DeepMind and leads a reinforcement learning team there, having joined DeepMind in 2013 while it was a start-up. Schaul's research covers exploration, hierarchy, credit assignment and learning dynamics in deep reinforcement learning, along with black-box optimization. Schaul is first author of "Prioritized Experience Replay" (2015), which replays important transitions more often than uniform sampling would, and of "The Phenomenon of Policy Churn" (NeurIPS 2022).132
Work
Prioritized Experience Replay (external site: arxiv.org)Published research
First author, with John Quan, Ioannis Antonoglou and David Silver, of the 2015 paper developing a framework for prioritizing experience in replay memory.3
This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.