Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

Author:

Amri Wadhah Zai ElORCID,Hermes LucaORCID,Schilling MalteORCID

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Azayev, T., Zimmerman, K.: Blind hexapod locomotion in complex terrain with gait adaptation using deep reinforcement learning and classification. J. Intell. Rob. Syst. 99, 659–671 (2020)

2. Duan, Y., Chen, X., Houthooft, R., Schulman, J., Abbeel, P.: Benchmarking deep reinforcement learning for continuous control. In: Proc. of the 33rd International Conference on Machine Learning. ICML 2016, vol. 48, pp. 1329–1338. JMLR (2016)

3. Frans, K., Ho, J., Chen, X., Abbeel, P., Schulman, J.: Meta Learning Shared Hierarchies. In: International Conference on Learning Representations (2018). https://openreview.net/forum?id=SyX0IeWAW

4. Heess, N., Wayne, G., Tassa, Y., Lillicrap, T., Riedmiller, M., Silver, D.: Learning and transfer of modulated locomotor controllers. arXiv preprint arXiv:1610.05182 (2016)

5. Huang, W., Mordatch, I., Pathak, D.: One policy to control them all: shared modular policies for agent-agnostic control. In: III, H.D., Singh, A. (eds.) Proceedings of the 37th International Conference on Machine Learning, vol. 119, pp. 4455–4464 (2020)

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