1. Natural actor–critic algorithms;Bhatnagar;Automatica,2009
2. Stochastic approximation: a dynamical systems view;Borkar,2008
3. Dai, B., Shaw, A., Li, L., Xiao, L., He, N., Liu, Z., Chen, J., and Song, L. (2018). Sbeed: Convergent reinforcement learning with nonlinear function approximation. In ICML 2018.
4. Qd-learning: A collaborative distributed strategy for multi-agent reinforcement learning through consensus+innovations;Kar;IEEE Transactions on Signal Processing,2013
5. Konda, V.R. and Tsitsiklis, J.N. (2000). Actor-critic algorithms. In Advances in neural information processing systems, 1008–1014.