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Behavior generation for a mobile robot based on the adaptive fitness function.

, , and . Robotics Auton. Syst., 40 (2-3): 69-77 (2002)

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Online Meta-learning by Parallel Algorithm Competition., , and . CoRR, (2017)Finding intrinsic rewards by embodied evolution and constrained reinforcement learning., and . Neural Networks, 21 (10): 1447-1455 (2008)Evolutionary Behavior Selection with Activation/Termination Constraints., , and . RoboCup, volume 2377 of Lecture Notes in Computer Science, page 234-243. Springer, (2001)Emergence of Different Mating Strategies in Artificial Embodied Evolution., , and . ICONIP (2), volume 5864 of Lecture Notes in Computer Science, page 638-647. Springer, (2009)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)A New Natural Policy Gradient by Stationary Distribution Metric., , , and . ECML/PKDD (2), volume 5212 of Lecture Notes in Computer Science, page 82-97. Springer, (2008)Deep dynamic policy programming for robot control with raw images., , , and . IROS, page 1545-1550. IEEE, (2017)Cooperative Behavior Acquisition in Multi Mobile Robots Environment by Reinforcement Learning Based on State Vector Estimation., , and . ICRA, page 1558-1563. IEEE Computer Society, (1998)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)Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning and Development., , and . Artif. Intell., 110 (2): 275-292 (1999)