State Representation Learning for Minimax Deep Deterministic Policy Gradient

Author:

Hu Dapeng,Jiang Xuesong,Wei Xiumei,Wang Jian

Publisher

Springer International Publishing

Reference11 articles.

1. Foerster, J., Farquhar, G., Afouras, T., Nardelli, N., Whiteson, S.: Counterfactual multiagent policy gradients. arXiv preprint arXiv:1705.08926 (2017)

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3. Shihui, L., Yi, W., Xinyue, C., Honghua, D., Fei, F., Stuart, R.: Robust multi-agent reinforcement learning via minimax deep deterministic policy gradient. In: AAAI Conference on Artificial Intelligence (AAAI) (2019)

4. Yeung, S., Russakovsky, O., Mori, G., Fei-Fei, L.: End-to-end learning of action detection from frame glimpses in videos. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2678–2687 (2016)

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