Work

A teacher-student framework to distill future trajectories

Year: 2021

Type: conference-paper

Source: International Conference on Learning Representations

Authors: Alexander Neitz, Giambattista Parascandolo, Bernhard Schölkopf

Institutions: Max Planck Institute for Intelligent Systems, ETH Zurich

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W3130497811

FWCI: 0.094

Cites: 34

Cited by: 1

Related to: 10