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Learning from Demonstration for Shaping through Inverse Reinforcement Learning.

, , , and . AAMAS, page 429-437. ACM, (2016)

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DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks., , , and . IJCAI, page 181-186. (2009)Autonomously Reusing Knowledge in Multiagent Reinforcement Learning., , and . IJCAI, page 5487-5493. ijcai.org, (2018)Reinforcement Learning from Demonstration through Shaping., , , , , and . IJCAI, page 3352-3358. AAAI Press, (2015)When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty., , , , and . AAMAS, page 109-116. IFAAMAS, (2010)Abstraction and Generalization in Reinforcement Learning: A Summary and Framework., , and . ALA, volume 5924 of Lecture Notes in Computer Science, page 1-32. Springer, (2009)Evolving Compiler Heuristics to Manage Communication and Contention., , , , , and . AAAI, page 1690-1693. AAAI Press, (2010)AI Projects for Computer Science Capstone Classes (Extended Abstract)., and . AAAI, page 4819-4821. AAAI Press, (2017)Scalable Multitask Policy Gradient Reinforcement Learning., , and . AAAI, page 1847-1853. AAAI Press, (2017)Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning., , and . AIIDE, page 38-44. AAAI Press, (2019)Partially Observable Mean Field Reinforcement Learning., , , and . AAMAS, page 537-545. ACM, (2021)