Ryan Sullivan
@ryanpsullivan.bsky.social
PhD Candidate at the University of Maryland researching reinforcement learning and autocurricula in complex, open-ended environments.
Previously RL intern @ SonyAI, RLHF intern @ Google Research, and RL intern @ Amazon Science
Previously RL intern @ SonyAI, RLHF intern @ Google Research, and RL intern @ Amazon Science
Most importantly, it’s extremely easy to use! You add a synchronization wrapper to your environments and your curriculum, plus a little more configuration, and it just works. For most methods, you don’t need to make any changes to the actual training logic.
December 5, 2024 at 4:12 PM
Most importantly, it’s extremely easy to use! You add a synchronization wrapper to your environments and your curriculum, plus a little more configuration, and it just works. For most methods, you don’t need to make any changes to the actual training logic.
As a result, CL research often focuses on relatively simple environments, despite the existence of challenging benchmarks like NetHack, Minecraft, and Neural MMO. Unsurprisingly, many of the methods developed in simpler environments won’t work as well on more complex domains.
December 5, 2024 at 4:11 PM
As a result, CL research often focuses on relatively simple environments, despite the existence of challenging benchmarks like NetHack, Minecraft, and Neural MMO. Unsurprisingly, many of the methods developed in simpler environments won’t work as well on more complex domains.