2k citations · 7.2k across the 38 of their papers we have counts for
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cs.LG2015★ 1.8k cited
Dueling Network Architectures for Deep Reinforcement Learning
Ziyu Wang, Tom Schaul, Matteo Hessel +3
In recent years there have been many successes of using deep representations in reinforcement learning. Still, many of these applications use conventional architectures, such as co…
cs.LG2015★ 2k cited
Prioritized Experience Replay
Tom Schaul, John Quan, Ioannis Antonoglou +1
Experience replay lets online reinforcement learning agents remember and reuse experiences from the past. In prior work, experience transitions were uniformly sampled from a replay…