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NeurIPS 2026U StellenboschInstaDeepU Cape Town & InstaDeepInstaDeep LtdInstadeep LtdMulti-agent RL

Coordinating Hundreds of RL Agents through Scalable Inference-Time Search

Daniel Rajaonarivonivelomanantsoa, Oussama Hidaoui, Refiloe Shabe, Noah De Nicola and 12 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026InstaDeepInstaDeep LtdU StellenboschInstadeep LtdU Cape Town & InstaDeepDeep RL

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

CPPO is an on-policy contrastive RL method deriving advantages from contrastive Q-values via PPO without rewards or replay buffers, outperforming prior CRL baselines in 14 of 18 tasks and matching or exceeding hand-crafted-reward PPO in 12 of 18.

Asim Osman, Sasha Abramowitz, Mark Bergh, Ulrich Armel Mbou Sob and 12 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 3/5