Few-shot neuro-symbolic imitation learning for long-horizon planning and acting
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This paper introduces a few-shot neuro-symbolic imitation learning framework that combines symbolic planning with neural control for long-horizon tasks.
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This paper introduces a few-shot neuro-symbolic imitation learning framework that combines symbolic planning with neural control for long-horizon tasks.
Freitas, Tiago Carvalho, Costa Neto, Alvaro, Pereira, Maria João Varanda, et al.
This paper outlines the potential role of LLMs in knowledge engineering, proposing hybrid neuro-symbolic systems and natural language knowledge engineering.
Jiejing Shao, Haoran Hao, Xiaowen Yang, et al.
This paper introduces a neuro-symbolic abductive imitation learning framework for long-horizon planning.
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This survey explores the foundations, challenges, and future directions of neuro-symbolic methods integrated with agentic foundation models for computer use agents.