June 6, 2023, 3:25 p.m. | Synced

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In a new paper Bigger, Better, Faster: Human-level Atari with human-level efficiency, a research team from Google DeepMind, Mila and Universite de Montreal presents a value-based RL agent, which they call faster, better, faster (BBF), that achieves super-human performance on the Atari 100K benchmark on single GPU.


The post DeepMind, Mila & Montreal U’s Bigger, Better, Faster RL Agent Achieves Super-human Performance on Atari 100K first appeared on Synced.

ai artificial intelligence atari games benchmark bigger call deepmind deep-neural-networks efficiency faster google google deepmind human human performance machine learning machine learning & data science ml paper performance reinforcement learning research research team team technology value

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