39 citations · 198 across the 21 of their papers we have counts for
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cs.AI2020★ 7 cited
Temporal Difference Uncertainties as a Signal for Exploration
Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann +7
An effective approach to exploration in reinforcement learning is to rely on an agent's uncertainty over the optimal policy, which can yield near-optimal exploration strategies in…
cs.LG2020
Expected Eligibility Traces
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel +3
The question of how to determine which states and actions are responsible for a certain outcome is known as the credit assignment problem and remains a central research question in…