Joshua Achiam

Deep Dive Session: An Introduction to Deep Reinforcement Learning

Josh Achiam is a research scientist on the safety team at OpenAI and a PhD student at UC Berkeley working with Prof. Pieter Abbeel. His research focuses on deep reinforcement learning, with an emphasis on safe exploration. His work has previously been published in ICML and appeared in workshops at NeurIPS. He is also the author of Spinning Up in Deep RL, a resource for self-studying concepts, theory, and code for deep reinforcement learning algorithms.

Buttontwitter Buttonlinkedin
This website uses cookies to ensure you get the best experience. Learn more