Continual Learning In Environments With Polynomial Mixing Times

The mixing time of the Markov chain induced by a policy limits performance in real-world continual learning scenarios. Yet, the effect of mixing times on learning in continual reinforcement learning (RL) remains underexplored. In this paper, we characterize problems that are of long-term interest to...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Riemer, Matthew, Raparthy, Sharath Chandra, Cases, Ignacio, Subbaraj, Gopeshh, Touzel, Maximilian Puelma, Rish, Irina
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Empirical analysis Machine learning Markov chains Polynomials
Online-Zugang:	Volltext
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