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Hammer on Metaworld

Hammer on Metaworld

50.3Episode ReturnOPRIDE

Updated 7mo ago

Evaluation results

Method	Links
OPRIDE2026.02		50.3
Random2026.02		46.1
Zero2026.02		38.1
Negative2026.02		22.6

State-of-the-art paper

OPRIDE

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration

Dataset

Metaworld

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Related benchmarks

Reinforcement Learning on Atari Asterix Offline Preference-Based Reinforcement Learning on Meta-World Offline Reinforcement Learning on Antmaze Robot Manipulation on Meta-World (10 Specific Tasks)Episode Return on Metaworld (coffee-push)

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