963 citations · 1.3k across the 8 of their papers we have counts for
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cs.LG2020
Finding online neural update rules by learning to remember
Karol Gregor
We investigate learning of the online local update rules for neural activations (bodies) and weights (synapses) from scratch. We represent the states of each weight and activation…
cs.LG2020★ 16 cited
Causally Correct Partial Models for Reinforcement Learning
Danilo J. Rezende, Ivo Danihelka, George Papamakarios +11
In reinforcement learning, we can learn a model of future observations and rewards, and use it to plan the agent's next actions. However, jointly modeling future observations can b…