Towards Symbolic Reinforcement Learning with Common Sense
@article{Garcez2018TowardsSR, title={Towards Symbolic Reinforcement Learning with Common Sense}, author={Artur S. d'Avila Garcez and Aimore Dutra and Eduardo Alonso}, journal={ArXiv}, year={2018}, volume={abs/1804.08597} }
Deep Reinforcement Learning (deep RL) has made several breakthroughs in recent years in applications ranging from complex control tasks in unmanned vehicles to game playing. Despite their success, deep RL still lacks several important capacities of human intelligence, such as transfer learning, abstraction and interpretability. Deep Symbolic Reinforcement Learning (DSRL) seeks to incorporate such capacities to deep Q-networks (DQN) by learning a relevant symbolic representation prior to using Q…
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