424 citations · 1.3k across the 18 of their papers we have counts for
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cs.AI2017★ 424 cited
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel, Joseph Modayil, Hado van Hasselt +7
The deep reinforcement learning community has made several independent improvements to the DQN algorithm. However, it is unclear which of these extensions are complementary and can…
cs.AI2017★ 343 cited
Count-Based Exploration with Neural Density Models
Georg Ostrovski, Marc G. Bellemare, Aaron van den Oord +1
Bellemare et al. (2016) introduced the notion of a pseudo-count, derived from a density model, to generalize count-based exploration to non-tabular reinforcement learning. This pse…