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CIG: Exploration via Conditional Information Gain
CIG derives a tractable trajectory-level information-gain reward via ensemble disagreement that conditions on replay buffers and rollout prefixes, outperforming prior methods across discrete and continuous exploration tasks.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 1/5