Hosted on MSN16d
Mismatched training environments could help AI agents perform better in uncertain conditionsThe 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 ...
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 ...
During this event VERSES plans to release an update on the previously announced Atari 10K Challenge ... than current state-of-the-art reinforcement learning models using just 90% less data ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results