Karen Myers
Karen Myers develops intelligent systems for collaboration between people and machines, including assistants and planning tools. Myers’s research covers multi-agent systems, automated planning and scheduling, intelligent assistants, and knowledge management. At SRI, she works on collaboration tools, task management, and end-user automation. A paper studies converting human advice into synthetic training experiences. The shared research uses these imagined examples to support simple reactive learning systems, including reinforcement learners.
- Now at
- SRI International
- Works
- 70
- Citations
- 2,059
- h-index
- 22
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2019
Learning from human advice
Myers studied converting human advice into synthetic training experiences. The shared research uses these imagined examples to support simple reactive learning systems, including reinforcement learners.
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2020
Planning knowledge and procedure learning
Myers also studied filtering heuristics based on planning action models to augment sequential pattern mining. The work connects representations used in planning with learning procedures from sequences.
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2023
AI research recognition
Myers received the VentureBeat Women in AI Award for AI Research in 2023.
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2025
Research recognition
AAAI elected Karen Myers as a Fellow in 2025.
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As of October 2026
Collaborative intelligent systems
Myers’s research covers multi-agent systems, automated planning and scheduling, intelligent assistants, and knowledge management. At SRI, she works on collaboration tools, task management, and end-user automation.
Sources and credits
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