AI is entering its 'era of experience'
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The Canadian computer scientist referred to the "experience" as three signals, namely the observation, the action and the reward, which keep passing back and forth between the agent and the world, eventually fostering the data of life. He considers an AI agent intelligent to the extent that it can predict and control its input signals, particularly its reward.
"Experience is the focus and the foundation of all intelligence," he said.
"The field of reinforcement learning is based on the experiential mindset… but to realize the full power of experience will require continual learning and meta-learning, which we don't yet have."