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Recognizing Plans by Learning Embeddings from Observed Action Distributions.

, , , , and . AAMAS, page 2153-2155. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)

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NatSGD: A Dataset with Speech, Gestures, and Demonstrations for Robot Learning in Natural Human-Robot Interaction., , , , , and . CoRR, (2024)Recognizing Plans by Learning Embeddings from Observed Action Distributions., , , , and . AAMAS, page 2153-2155. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Explicable Planning as Minimizing Distance from Expected Behavior., , , , , and . AAMAS, page 2075-2077. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning., , and . AAAI, page 10395-10403. AAAI Press, (2024)Discovering Underlying Plans Based on Shallow Models., , and . CoRR, (2018)Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning., , and . CoRR, (2021)Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems., , , , and . CoRR, (2021)Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems., , , , and . AAAI, page 12262-12267. AAAI Press, (2022)Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping., , and . IROS, page 7835-7842. IEEE, (2021)Discovering Underlying Plans Based on Shallow Models., , , and . ACM Trans. Intell. Syst. Technol., 11 (2): 18:1-18:30 (2020)