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20202026
most citedConditional Mutual Information for Disentangled Representations in Reinforcement Learning

5 citations · 17 across the 19 of their papers we have counts for

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cs.LG2021★ 2 cited

Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning

Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht

Deep reinforcement learning (RL) agents that exist in high-dimensional state spaces, such as those composed of images, have interconnected learning burdens. Agents must learn an ac…

cs.LG2021

Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters

Trevor A. McInroe, Michael Spurrier, Jennifer Sieber +1

We analyze the hidden activations of neural network policies of deep reinforcement learning (RL) agents and show, empirically, that it's possible to know a priori if a state repres…