发帖
雷达卡
Discovering symbolic policies with deep reinforcement learning
Mikel Landajuela * 1 Brenden K. Petersen * 1 Sookyung Kim * 1 Claudio P. Santiago 1 Ruben Glatt 1
T. Nathan Mundhenk 1 Jacob F. Pettit 1 Daniel M. Faissol 1
Abstract
Deep reinforcement learning (DRL) has proven
successful for many difficult control problems by
learning policies represented by neural networks.
However, the complexity of neural network-based
policies—involving thousands o ...
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