Let's take a look at "SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning". The authors use GPT-4 to learn an agent that can play Crafter, getting it's information from a specification paper. They claim it's better than reinforcement learning, but is that really the case? Should we be using LLMs instead of RL?
Outline
0:00 - Intro
1:02 - Crafter
2:39 - LLM Learning
7:40 - Similar Projects
8:40 - Results
13:50 - Ablation
16:10 - Other LLMs
17:18 - Takeaways
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Sources:
Paper - https://arxiv.org/abs/2305.15486