Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination

Author:

Han Dongge,Böhmer Wendelin,Wooldridge Michael,Rogers Alex

Publisher

Springer International Publishing

Reference22 articles.

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3. Foerster, J., Assael, I.A., de Freitas, N., Whiteson, S.: Learning to communicate with deep multi-agent reinforcement learning. In: Advances in Neural Information Processing Systems, pp. 2137–2145 (2016)

4. Foerster, J., Farquhar, G., Afouras, T., Nardelli, N., Whiteson, S.: Counterfactual multi-agent policy gradients. arXiv preprint arXiv:1705.08926 (2017)

5. Foerster, J., et al.: Stabilising experience replay for deep multi-agent reinforcement learning. In: Proceedings of the 34th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 70, pp. 1146–1155 (2017). http://proceedings.mlr.press/v70/foerster17b.html

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