Course contentThe course will provide an overview of recent advancements in research that study reinforcement learning (RL) with large language models (LLMs). The course material will comprise research papers covering three different perspectives: (a) utilizing RL in training LLMs, (b) utilizing LLMs in training RL agents, and (c) foundation models for sequential decision-making. This course will familiarize participants with state-of-the-art techniques that bridge RL and LLMs.
The course will consist of three components: (i) research papers, (ii) project, and (iii) final presentation. Details to be added soon!
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