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A Rationale-Driven Team Plan Representation for Autonomous Intra-Robot Replanning*., and . IROS, page 2389-2394. IEEE, (2018)Reinforcement Learning for Market Making in a Multi-agent Dealer Market., , , , , and . CoRR, (2019)Robust Document Representations using Latent Topics and Metadata., , , and . CoRR, (2020)Distributed, Play-Based Role Assignment for Robot Teams in Dynamic Environments., and . DARS, page 145-154. Springer, (2006)MineRL: A Large-Scale Dataset of Minecraft Demonstrations., , , , , , and . IJCAI, page 2442-2448. ijcai.org, (2019)PADO: A New Learning Architecture for Object Recognition, and . Symbolic Visual Learning, Oxford University Press, (1996)Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time., , and . IEEE Robotics Autom. Lett., 6 (3): 5873-5880 (2021)Fair Wasserstein Coresets., , , , and . CoRR, (2023)Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe., , , , , and . CoRR, (2022)Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations., , , , , , , , , and . CoRR, (2022)