Performance Variation in Deep Reinforcement Learning
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72
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15
In three linesStudy on performance variation in deep reinforcement learning. Authors critique conventional uncertainty measures and propose percentile-based statistics (min-max IPR). Three case studies: LayerNorm reduces variation in PPO but not SAC; TD-MPC2 exhibits less variation than PPO/SAC; DQN and Rainbow show similar variation levels on Atari.Read source
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