Poster · Paris

JAXtari: High-Throughput and Easy-to-Modify Arcade Learning Environment

Name: JAXtari: High-Throughput and Easy-to-Modify Arcade Learning Environment
Start: 2026-12-09T12:30:00+01:00
End: 2026-12-09T14:30:00+01:00
Location: Paris Poster Hall, Paris

When: Wed 9 Dec 2026, 12:30–14:30 CET
Where: Paris Poster Hall
Session: Paris Poster Session 1
Authors: Quentin Delfosse, Raban Emunds, Paul Seitz, Sebastian Wette, Jannis Blüml, Daniel Kirn, Dominik Mandok, Kristian Kersting
Organisations: Google, Technische Universität Darmstadt
QRS classification: Reinforcement learning

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