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Found 5 papers, 2 papers with code
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation
The next step is to map the contact points of the retrieved objects to the new object.
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
Owning to the alignment of objectives in two phases, the RL agent can transfer between offline and online learning seamlessly.
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
Visual Reinforcement Learning (Visual RL), coupled with high-dimensional observations, has consistently confronted the long-standing challenge of out-of-distribution generalization.
Decision Transformer under Random Frame Dropping
Typical RL methods usually require considerable online interaction data that are costly and unsafe to collect in the real world.
Extraneousness-Aware Imitation Learning
To tackle this problem, we introduce Extraneousness-Aware Imitation Learning (EIL), a self-supervised approach that learns visuomotor policies from third-person demonstrations with extraneous subsequences.
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