Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE

Author:

Sehnke Frank,Zhao Tingting

Publisher

Springer International Publishing

Reference20 articles.

1. Sehnke, F., Osendorfer, C., Rückstieß, T., Graves, A., Peters, J., Schmidhuber, J.: Parameter-exploring policy gradients. Neural Networks 23(4), 551–559 (2010)

2. Rückstieß, T., Sehnke, F., Schaul, T., Wierstra, D., Sun, Y., Schmidhuber, J.: Exploring parameter space in reinforcement learning. Paladyn. Journal of Behavioral Robotics 1(1), 14–24 (2010)

3. Miyamae, A., Nagata, Y., Ono, I.: Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. In: NIPS, pp. 1–9 (2010)

4. Zhao, T., Hachiya, H., Niu, G., Sugiyama, M.: Analysis and improvement of policy gradient estimation. Neural networks: the Official Journal of the International Neural Network Society, 1–30 (October 2011)

5. Zhao, T., Hachiya, H., Tangkaratt, V., Morimoto, J., Sugiyama, M.: Efficient sample reuse in policy gradients with parameter-based exploration. arXiv preprint arXiv:1301.3966 (2013)

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