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Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics.

, , , , , and . AAAI Workshop: Symbiotic Cognitive Systems, volume WS-16-14 of AAAI Technical Report, AAAI Press, (2016)978-1-57735-759-9.

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Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains., , , and . AAMAS, page 1865-1867. International Foundation for Autonomous Agents and Multiagent Systems, (2019)HI-VAL: Iterative Learning of Hierarchical Value Functions for Policy Generation., , and . IAS, volume 867 of Advances in Intelligent Systems and Computing, page 414-427. Springer, (2018)Multi-robot search for a moving target: Integrating world modeling, task assignment and context., , , and . IROS, page 1879-1886. IEEE, (2016)Game Strategies for Physical Robot Soccer Players: A Survey., , , and . IEEE Trans. Games, 13 (4): 342-357 (2021)CNL2ASP: Converting Controlled Natural Language Sentences into ASP., , , , and . Theory Pract. Log. Program., 24 (2): 196-226 (March 2024)Enabling Symbiotic Autonomy in Short-Term Interactions: A User Study., , , , and . ICSR, volume 9979 of Lecture Notes in Computer Science, page 796-807. (2016)A Tool for Encoding Controlled Natural Language Specifications as ASP Rules., , and . Datalog, volume 3203 of CEUR Workshop Proceedings, page 188-201. CEUR-WS.org, (2022)Coordination and Cooperation in Robot Soccer., , , and . ICCCI, volume 12876 of Lecture Notes in Computer Science, page 215-227. Springer, (2021)Q-CP: Learning Action Values for Cooperative Planning., , and . ICRA, page 6469-6475. IEEE, (2018)Spatial representation for planning and executing robot behaviors in complex environments.. Sapienza University of Rome, Italy, (2018)base-search.net (ftunivromairis:oai:iris.uniroma1.it:11573/1130262).