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Data Efficient Reinforcement Learning for Legged Robots., , , , , and . CoRR, (2019)Sim-to-Real: Learning Agile Locomotion For Quadruped Robots., , , , , , , and . Robotics: Science and Systems, (2018)Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot., , , and . IROS, page 2236-2243. IEEE, (2014)When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies., , , , , , and . CoRR, (2019)Optimizing Simulations with Noise-Tolerant Structured Exploration., , , , and . ICRA, page 2970-2977. IEEE, (2018)Policies Modulating Trajectory Generators., , , , , , and . CoRL, volume 87 of Proceedings of Machine Learning Research, page 916-926. PMLR, (2018)Learning to control complex tensegrity robots., , , and . AAMAS, page 1193-1194. IFAAMAS, (2013)Decentralized coordination via task decomposition and reward shaping., and . AAMAS, page 1269-1270. IFAAMAS, (2013)NoRML: No-Reward Meta Learning., , , , and . AAMAS, page 323-331. International Foundation for Autonomous Agents and Multiagent Systems, (2019)A new perspective to the keepaway soccer: the takers., and . AAMAS (3), page 1341-1344. IFAAMAS, (2008)