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One-Shot Imitation Learning

paperactiveone-shot-imitation-learning-87057c12·1 events·first seen May 20, 2026

Aliases: One-Shot Imitation Learning

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Imitation Learning few-shot learning zero-shot learning Language Models are Few-Shot Learners zero-shot evaluation Difference-Aware Retrieval Policies for Imitation Learning Language-Critique Imitation Learning from Suboptimal Demonstrations Reasoning Imitation Q-learning Soft Q-Learning self-play reinforcement learning Matryoshka Representation Learning

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4Openai Blog·May 20, 2026·source ↗

One-shot imitation learning

OpenAI published research on one-shot imitation learning, a technique enabling agents to learn new tasks from a single demonstration. The approach allows a policy network to observe a demonstration and immediately generalize to new instances of the same task without additional training. This was an early contribution to the field of meta-learning and few-shot generalization in robotics and sequential decision-making.

Agent and Tool Ecosystem Alignment and RLHF One-Shot Imitation Learning meta-learning Imitation Learning +1 more