A monotonic policy optimization algorithm for high-dimensional continuous control problem in 3D MuJoCo

Author:

Yuan Qunyong,Xiao Nanfeng

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference24 articles.

1. Achiam J (2016) Easy monotonic policy iteration [J]. arXiv:1602. 09118

2. Duan Y, Chen X, Houthooft R, et al. (2016) Benchmarking deep reinforcement learning for continuous control [J]. Proceedings of The 33rd International Conference on Machine Learning, p 1329–1338

3. Haviv M, Van Der Heyden, L (1984) Perturbation bounds for the stationary probabilities of a finite markov chain. Adv Appl Probab 16(4):804–818. ISSN 00018678. URL http://www.jstor.org/stable/142734

4. Kakade, Sham (2001a) A natural policy gradient. In: NIPS, volume 14, p 1531–1538

5. Kakade S, Langford J (2002) Approximately optimal approximate reinforcement learning. Nineteenth International Conference on Machine Learning. Morgan Kaufmann Publishers Inc., p 267–274

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