Model-Based Policy Optimization with Neural Differential Equations for Robotic Arm Control

Author:

Gorodetskiy Andrey,Mironov Konstantin,Panov Aleksandr

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Kalashnikov, D., et al.: Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation. arXiv preprint arXiv:1806.10293 (2018)

2. Kalashnikov, D., et al.: Scalable deep reinforcement learning for vision-based robotic manipulation. In: Conference on Robot Learning, pp. 651–673 (2018)

3. Lillicrap, T.P., et al.: Continuous control with deep reinforcement learning. arXiv preprint arXiv:1509.02971 (2015)

4. Chen, R.T., Rubanova, Y., Bettencourt, J., Duvenaud, D.K.: Neural ordinary differential equations. In: Advances in Neural Information Processing Systems, vol. 31 (2018)

5. Ha, D., Schmidhuber, J.: World models. arXiv preprint arXiv:1803.10122 (2018)

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