作者:金出武雄,譯者:鄭舜瓏,像外行一樣思考,像專家一樣實踐:成功解決問題的高階技術,遠流
Jitendra S. Mudhol, Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision, CollaMeta, May 17, 2019. (video)
作者:金出武雄,譯者:鄭舜瓏,像外行一樣思考,像專家一樣實踐:成功解決問題的高階技術,遠流
Knowledge to master for a better foundation (and future)
Tools and general:
YouTube 每 24 小時,只能上傳 10 部影片。同學的影片需要分數天上傳,請耐心等後。明年,我們會改善此流程。
YouTube 人氣獎
David Silver, Satinder Singh, Doina Precup, and Richard S. Sutton, Reward is enough, Artificial Intelligence, Volume 299, October 2021, 103535.
In this article we hypothesise that intelligence, and its associated abilities, can be understood as subserving the maximisation of reward. Accordingly, reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, perception, social intelligence, language, generalisation and imitation. This is in contrast to the view that specialised problem formulations are needed for each ability, based on other signals or objectives. Furthermore, we suggest that agents that learn through trial and error experience to maximise reward could learn behaviour that exhibits most if not all of these abilities, and therefore that powerful reinforcement learning agents could constitute a solution to artificial general intelligence.