Luiz Ricardo Takeshi Horita

Effective Deep Reinforcement Learning Setups for Multiple Goals on Visual Navigation

2020

Deep Reinforcement Learning (DRL) represents an interesting class of algorithms, since its objective is to learn a behavioral policy through interaction with the environment, leveraging the function approximation properties of neural net-works. Nonetheless, for episodic …