Near to Mid-term Risks and Opportunities of Open Source Generative AI

no code implementations • 25 Apr 2024 • Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob Foerster

In the next few years, applications of Generative AI are expected to revolutionize a number of different areas, ranging from science & medicine to education.

SplAgger: Split Aggregation for Meta-Reinforcement Learning

no code implementations • 5 Mar 2024 • Jacob Beck, Matthew Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson

However, it remains unclear whether task inference sequence models are beneficial even when task inference objectives are not.

Continuous Control Meta Reinforcement Learning +2

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

1 code implementation • 26 Feb 2024 • Michael Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Jackson, Samuel Coward, Jakob Foerster

Either they are too slow for meaningful research to be performed without enormous computational resources, like Crafter, NetHack and Minecraft, or they are not complex enough to pose a significant challenge, like Minigrid and Procgen.

NetHack reinforcement-learning +1