Matthew E. Taylor

Venues

Frequent coauthors

Papers

1. Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026
   AAAI 2026 ·

   Sven Koenig

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2. An LLM-Guided Tutoring System for Social Skills Training
   AAAI 2025 ·

   Michael Guevarra

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3. Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
   AAMAS 2025 ·

   Calarina Muslimani

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4. Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning
   AAMAS 2025 ·

   Tianpei Yang

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5. Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
   ICLR 2025 ·

   Calarina Muslimani

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6. Model-Based Exploration in Monitored Markov Decision Processes
   ICML 2025 ·

   Alireza Kazemipour

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7. Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
   AAMAS 2025 ·

   Taher Jafferjee

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8. The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
   IJCAI 2025 ·

   Sheila Schoepp

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9. A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
   AAAI 2024 ·

   Tianpei Yang

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10. GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
    AAMAS 2024 ·

    Chaitanya Kharyal

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11. Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
    AAMAS 2024 ·

    Calarina Muslimani

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12. Local Linearity is All You Need (in Data-Driven Teleoperation)
    IROS 2024 ·

    Michael Przystupa

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13. MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
    AAMAS 2024 ·

    Bram Grooten

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14. Monitored Markov Decision Processes
    AAMAS 2024 ·

    Simone Parisi

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15. PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
    AAMAS 2024 ·

    Hao Zhang

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16. PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
    AAAI 2024 ·

    Jizhou Wu

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