Poster · Sydney

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation

Name: Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
Start: 2026-12-09T10:00:00+11:00
End: 2026-12-09T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Wed 9 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 3
Authors: Asim Osman, Sasha Abramowitz, Mark Bergh, Ulrich Armel Mbou Sob, Ruan John de Kock, Omayma Mahjoub, Oussama Hidaoui, Noah De Nicola, Arnol M Fokam, Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Siddarth Singh and 4 more
Organisations: InstaDeep, University of Stellenbosch, University of Cape Town
QRS classification: Reinforcement learning, Representation and transfer learning

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