all AI news
On the Opportunities and Challenges of using Animals Videos in Reinforcement Learning. (arXiv:2209.12347v2 [eess.SY] UPDATED)
Sept. 28, 2022, 1:13 a.m. | Vittorio Giammarino
cs.LG updates on arXiv.org arxiv.org
We investigate the use of animals videos to improve efficiency and
performance in Reinforcement Learning (RL). Under a theoretical perspective, we
motivate the use of weighted policy optimization for off-policy RL, describe
the main challenges when learning from videos and propose solutions. We test
our ideas in offline and online RL and show encouraging results on a series of
2D navigation tasks.
animals arxiv challenges reinforcement reinforcement learning videos
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Data Architect
@ Western Digital | San Jose, CA, United States
Senior Data Scientist GenAI (m/w/d)
@ Deutsche Telekom | Bonn, Deutschland
Senior Data Engineer, Telco (Remote)
@ Lightci | Toronto, Ontario
Consultant Data Architect/Engineer H/F - Innovative Tech
@ Devoteam | Lyon, France
(Senior) ML Engineer / Software Engineer Machine Learning & AI (m/f/x) onsite or remote (in Germany or Austria)
@ Scalable GmbH | Wien, Germany