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An Application of Vision-Based Learning in RoboCup for a Real Robot with an Omnidirectional Vision System and the Team Description of Osaka University "Trackies".

, , , , , and . RoboCup, volume 1604 of Lecture Notes in Computer Science, page 316-325. Springer, (1998)

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The Team Description of Osaka University "Trackies-99"., , , , , , , , and . RoboCup, volume 1856 of Lecture Notes in Computer Science, page 750-753. Springer, (1999)Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning., , , and . Adapt. Behav., 16 (6): 400-412 (2008)A Generalized Natural Actor-Critic Algorithm., , , and . NIPS, page 1312-1320. Curran Associates, Inc., (2009)Behavior coordination for a mobile robot using modular reinforcement learning., , and . IROS, page 1329-1336. IEEE, (1996)Efficient sample reuse in policy search by multiple importance sampling.. GECCO, page 545-552. ACM, (2018)Estimating cost function of expert players in differential games: A model-based method and its data-driven extension., and . Expert Syst. Appl., (2024)Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2995-3003. PMLR, (2019)Evolutionary Behavior Selection with Activation/Termination Constraints., , and . RoboCup, volume 2377 of Lecture Notes in Computer Science, page 234-243. Springer, (2001)Deep dynamic policy programming for robot control with raw images., , , and . IROS, page 1545-1550. IEEE, (2017)Vision Based State Space Construction for Learning Mobile Robots in Multi-agent Environments., , and . EWLR, volume 1545 of Lecture Notes in Computer Science, page 62-78. Springer, (1997)