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Deep Adversarial Reinforcement Learning for Object Disentangling., , , and . IROS, page 5504-5510. IEEE, (2020)Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement., , and . Auton. Agents Multi Agent Syst., 34 (2): 42 (2020)Hierarchical Imitation Learning with Vector Quantized Models., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 17896-17919. PMLR, (2023)Function-space Parameterization of Neural Networks for Sequential Learning., , , , , and . CoRR, (2024)Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets., , , , , , , , and . NeurIPS, (2023)Continuous Monte Carlo Graph Search., , , , , and . AAMAS, page 1047-1056. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment., , , , , , , and . IEEE Robotics Autom. Lett., 8 (12): 7889-7896 (December 2023)Swapped goal-conditioned offline reinforcement learning., , , , and . CoRR, (2023)Monte-Carlo Robot Path Planning., , , and . CoRR, (2022)Machine Learning Based Mobile Network Throughput Classification., , , and . WCNC, page 1-6. IEEE, (2021)