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#task-learning News & Analysis

2 articles tagged with #task-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · 6h ago7/10
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From History to State: Constant-Context Skill Learning for LLM Agents

Researchers propose constant-context skill learning, a framework enabling LLM agents to learn reusable task procedures as lightweight modules rather than storing long prompts in memory. The approach reduces token usage per inference by 2-7x while maintaining or improving performance across multiple benchmark environments, addressing the privacy-capability tradeoff in agent deployment.

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AIBullishOpenAI News · Oct 266/106
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Learning a hierarchy

Researchers have developed a hierarchical reinforcement learning algorithm that learns high-level actions to efficiently solve complex tasks requiring thousands of timesteps. The algorithm was successfully applied to navigation problems, where it discovered high-level actions for walking and crawling in different directions, enabling rapid mastery of new navigation tasks.