Related papers: Variance Reduction Methods for Sublinear Reinforce…
The paper has been withdrawn
Performance evaluations are critical for quantifying algorithmic advances in reinforcement learning. Recent reproducibility analyses have shown that reported performance results are often inconsistent and difficult to replicate. In this…
This paper has been withdrawn by the author, due to a crucial error in the proof of Lemma 3.1.
This paper has been withdrawn.
This paper has been withdrawn by the author.
Rejection sampling is a common tool for low dimensional problems ($d \leq 2$), often touted as an "easy" way to obtain valid samples from a distribution $f(\cdot)$ of interest. In practice it is non-trivial to apply, often requiring…
The paper is withdrawn by the author due to a recently discovered flaw in a basic proof.
This paper has been withdrawn by the author due to essential mistakes in some previous versions.
This paper has been withdrawn by the author due to a crucial sign error in equation 2 and some mistake in Table 1 information. please let me for changing this information and updating this paper.
This paper has been withdrawn by the authors, due a crucial error.
This paper is being withdrawn by the authors in order to correct some errors and also to introduce improved theoretical techniques.
This paper has been withdrawn to address an omission. It will be resubmitted in the near future.
The paper is withdrawn due to an error in Section 3.2. The remaining of the results are included in the preprint solv-int/9605004.
This paper has been retracted.
Major mistake. The paper has been withdrawn.
This paper has been withdrawn by the author, due an error in the proof of Proposion 2.13.
This paper has been withdrawn by the authors. We have discovered an error in the evaluation of the diagram, which invalidates our conclusion.
Reinforcement learning (RL) experiments have notoriously high variance, and minor details can have disproportionately large effects on measured outcomes. This is problematic for creating reproducible research and also serves as an obstacle…
This paper has been withdrawn by the author due to some errors.
This paper has been withdrawn by the authors due to a gap in the proof of the main result (in 5.3).