were able to match or exceed the performance of state-of-the-art Deep Reinforcement Learning (DRL) and Transformer algorithms using 90% less data. “The Atari Challenge represents more than just ...

Insilico Medicine ( "Insilico") , a clinical stage generative artificial intelligence (AI)-driven biotechnology company today announced a set of preclinical drug discovery benchmarks from the 22 ...

The results, which can be found in a blog post on the Company’s website titled “Mastering Atari Games with Natural Intelligence ... exceed the performance of state-of-the-art Deep Reinforcement ...

The results, detailed in a recent blog post, show that Genuis matched or exceeded the performance of top Deep Reinforcement Learning (DRL ... across multiple Atari games – including different ...

Reinforcement Learning RL trains agents ... Model-based RL (MBRL) mitigates this by learning a world model (WM) for planning in an imagined environment. Standard benchmarks like Atari-100k test sample ...

A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash ...

We directly trained PL-SDQN on reinforcement learning tasks. The results show that spiking deep Q networks combined with the potential-based layer normalization method can achieve better performance ...

The researchers studied this phenomenon by training AI agents to play Atari games ... ghosts on the game board will move up, down, left, or right. In standard reinforcement learning, the AI ...

What a difference a week makes! Just last week, we were talking about Verses AI (CBOE:VERS) (VRSSF) shares taking a hit from ...