[Adapt] [Seminar]Reinforcement Learning for Natural Language Processing

[任思宇]

Hi Adapters,


Reinforcement learning aims to endow agents with the ability to learn through trial and error and has become prevailing in artificial intelligence areas. In NLP field, RL often serves as a framework to make models more aware of the underlying structure of real-world application. Today I will talk about some basics of RL and things about applying RL to NLP research, I hope it will give you some ideas about whether and how you should use reinforcement learning in your research.

Time: Wed 4:30pm
Venue: SEIEE 3-414

See you there!
Best Regards,
Roy
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