Google DeepMind Researchers Provide Insights into Parameter Scaling for Deep Reinforcement Learning with Mixture-of-Expert Modules

Deep reinforcement learning (RL) focuses on agents learning to achieve a goal. These agents are trained using algorithms that balance exploration of the environment with the exploitation of known strategies to maximize cumulative rewards. A critical challenge within deep reinforcement learning is the effective scaling of model parameters. Usually, increasing the size of a neural […]

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