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Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2018)

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Ruth Malter

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Georg Malterer

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Simona Maltese

 

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Guiding Representation Learning in Deep Generative Models with Policy Gradients., , , , и . OLA, том 1443 из Communications in Computer and Information Science, стр. 115-131. Springer, (2021)ReaCog, a Minimal Cognitive Controller Based on Recruitment of Reactive Systems., и . Frontiers Neurorobotics, (2017)Hierarchical MMC Networks as a manipulable body model., и . IJCNN, стр. 2141-2146. IEEE, (2007)Transfer of Spatial Contact Information Among Limbs and the Notion of Peripersonal Space in Insects., и . Frontiers Comput. Neurosci., (2018)Lose a Leg but not Your Head - A Cognitive Extension of a Biologically-inspired Walking Architecture.. BICA, том 88 из Procedia Computer Science, стр. 102-106. Elsevier, (2016)Action Selection within Short Time Windows., и . Living Machines, том 8608 из Lecture Notes in Computer Science, стр. 47-58. Springer, (2014)Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3., , , , и . LOD (2), том 12566 из Lecture Notes in Computer Science, стр. 631-644. Springer, (2020)Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent., , и . LOD (2), том 13811 из Lecture Notes in Computer Science, стр. 265-280. Springer, (2022)Hierarchical Dual Quaternion-Based Recurrent Neural Network as a Flexible Internal Body Model.. IJCNN, стр. 1-8. IEEE, (2019)Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator.. IJCNN, стр. 1-8. IEEE, (2019)