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DeepMind’s AlphaStar Benchmark Improves RL Offline Agent With 90% Win Rate Against SOTA AlphaStar Supervised Agent
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In a new paper AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning, a DeepMind research team presents AlphaStar Unplugged, an unprecedented challenging large-scale offline reinforcement learning benchmark that leverages a offline dataset from StarCraft II for RL agents training.
The post DeepMind’s AlphaStar Benchmark Improves RL Offline Agent With 90% Win Rate Against SOTA AlphaStar Supervised Agent first appeared on Synced.
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