Submission Instructions

Submitter papers must not exceed 4 pages, excluding references, and must follow GECCO style guidelines. 

The content of the paper must be either new original work or discuss new perspectives on recently published work.

Papers must be submitted using the GECCO submission site. After login, the authors need to select the "Workshop Paper" submission form. In the form, the authors must select the workshop EvoRL.

All accepted papers will be presented at the corresponding workshop and appear in the GECCO Conference Companion Proceedings. 

By submitting a paper, the author(s) agree that, if their paper is accepted, they will: 

• Submit a final, revised, camera-ready version to the publisher on or before the camera-ready deadline

• Register at least one author before May 2, 2022 to attend the conference

• Provide a pre-recorded version of the talk or poster and be present during its online transmission (which will occur during the days of the conference) to answer questions from the (online) audience.

For more informations check GECCO workshop page.

Important dates

• Submission opening: February 11, 2022

• Submission deadline: April 11, 2022

• Notification: April 25, 2022

• Camera-ready: May 2, 2022

• Conference Dates: July 9-13, 2022 (Saturday to Wednesday)

The workshop happened on July 10th 2022 in the Caspian room in the Renaissance Boston Waterfront Hotel.

It will consist of one 110 minutes slot organized as follows:

(All times are in Boston's time zone UTC/GMT-4, Eastern Daylight Time.)

Start: 16:00 - End: 17:50

Welcome and introduction

Regular papers (15min + 3 min Q&A)

• On the Effect of the Sampling Ratio of Past Trajectories in the Combination of Evolutionary Algorithm and Deep Reinforcement Learning ( Yasen Wang and Youhei Akimoto)

• Safety-Informed Mutations for Evolutionary Deep Reinforcement Learning (Enrico Marchesini and Christopher Amato)

• Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning (Thomas Miconi)

Keynote (40min + 10min Q&A)

• Julian Togelius, Associate Professor Department of Computer Science and Engineering Tandon School of Engineering New York University (Personal website)

Closing by organizers