Although deep reinforcement learning (RL) has recently enjoyed many
succ...
One of the fundamental challenges in reinforcement learning (RL) is the ...
Deeply-learned planning methods are often based on learning representati...
In this paper, we propose a new experimental protocol and use it to benc...
Several methods of estimating the mutual information of random variables...
This paper proposes Power Slow Feature Analysis, a gradient-based method...