model-free methods 1optimality guarantees 1reinforcement learning 1theoretical analysis 1universal AI 1
From the 1 of 10 linked papers with an AI index.
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cs.AI2026
A Model-Free Universal AI
Yegon Kim, Juho Lee
The paper proposes AIQI, a model-free reinforcement learning agent that uses universal induction over action-value functions and is proven to be asymptotically epsilon-optimal.
cs.AI2026
Mitigating Legibility Tax with Decoupled Prover-Verifier Games
Yegon Kim, Juho Lee
As large language models become increasingly capable, it is critical that their outputs can be easily checked by less capable systems. Prover-verifier games can be used to improve…