Tim Salimans
Tim Salimans

Tim Salimans

Richard Chen Tim Salimans

Learning Montezuma’s Revenge from a Single Demonstration

We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously published result. Our algorithm is simple: the agent plays a sequence of games starting from carefully chosen states from the demonstration, and learns from them by

Durk Kingma Ilya Sutskever John Schulman Tim Salimans

Requests for Research 2.0

We’re releasing a new batch of seven unsolved problems which have come up in the course of our research at OpenAI. Like our original Requests for Research (which resulted in several papers), we expect these problems to be a fun and meaningful way for new people to enter the field,