English

The many faces of optimism - Extended version

Artificial Intelligence 2008-10-21 v1 Computational Complexity Machine Learning

Abstract

The exploration-exploitation dilemma has been an intriguing and unsolved problem within the framework of reinforcement learning. "Optimism in the face of uncertainty" and model building play central roles in advanced exploration methods. Here, we integrate several concepts and obtain a fast and simple algorithm. We show that the proposed algorithm finds a near-optimal policy in polynomial time, and give experimental evidence that it is robust and efficient compared to its ascendants.

Keywords

Cite

@article{arxiv.0810.3451,
  title  = {The many faces of optimism - Extended version},
  author = {István Szita and András Lőrincz},
  journal= {arXiv preprint arXiv:0810.3451},
  year   = {2008}
}

Comments

Extended version of the homonymous ICML'08 paper, with proofs

R2 v1 2026-06-21T11:32:38.415Z