Rishabh Agarwal is a reinforcement learning researcher and founding member at Periodic Labs. He is also an Adjunct Professor at McGill University. Previously, he worked on reinforcement learning and reasoning at Meta and was a staff research scientist at Google DeepMind. His research focuses on reinforcement learning, LLMs, and reliable evaluation of machine-learning systems.
Rishabh Agarwal is a reinforcement learning researcher and founding member at Periodic Labs. He is also an Adjunct Professor at McGill University. Previously, he worked on reinforcement learning and reasoning at Meta and was a staff research scientist at Google DeepMind. His research focuses on reinforcement learning, LLMs, and reliable evaluation of machine-learning systems.
Career
Rishabh Agarwal holds a PhD from Mila – Quebec AI Institute and a Bachelor's degree in Computer Science and Engineering from Indian Institute of Technology Bombay.
Staff Research Scientist at Google DeepMind until PresentConducted research in reinforcement learning and machine learning. Co-authored work on offline reinforcement learning, many-shot in-context learning, and related topics.