Work

Augmented Curiosity: Depth and Optical Flow Prediction for Efficient Exploration

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-33720-9_20

Authors: Juan Carvajal, Thomas Molnar, Lukasz Burzawa, Eugenio Culurciello

Institution: Purdue University West Lafayette

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2982393770

FWCI: 0.081

Cites: 13

Cited by: 1

Related to: 10