424 citations · 611 across the 16 of their papers we have counts for
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cs.LG2019★ 21 cited
On Inductive Biases in Deep Reinforcement Learning
Matteo Hessel, Hado van Hasselt, Joseph Modayil +1
Many deep reinforcement learning algorithms contain inductive biases that sculpt the agent's objective and its interface to the environment. These inductive biases can take many fo…
cs.LG2019★ 39 cited
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Tom Schaul, Diana Borsa, Joseph Modayil +1
Rather than proposing a new method, this paper investigates an issue present in existing learning algorithms. We study the learning dynamics of reinforcement learning (RL), specifi…