Engineering News
Jiang furthers development in reinforcement learning with NSF CAREER Award
Breaking from tendencies in breakthroughs for RL that do not apply to many real-world problems, Jiang will seek to develop a different paradigm by utilizing offline RL.
Engineering News | August 8, 2022
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