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Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning

2018 · arXiv (Cornell University)

Posterior sampling for reinforcement learning (PSRL) is an effective method for balancing exploration and exploitation in reinforcement learning. Randomised value functions (RVF) can be viewed as a promising approach to scaling PSRL. However, we show …