1. D. Ding and M. R. Jovanovic. Policy gradient primal-dual mirror descent for constrained MDPs with large state spaces. In Proceedings of the 61st IEEE Conference on Decision and Control, Cancun, Mexico, pages 4892-4897, 2022. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Mirror descent, Function approximation. [bibtex-entry]



2. D. Ding, X. Wei, Z. Yang, Z. Wang, and M. R. Jovanovic. Provably efficient safe exploration via primal-dual policy optimization. In 24th International Conference on Artificial Intelligence and Statistics, volume 130, Virtual, pages 3304-3312, 2021. Keyword(s): Safe reinforcement learning, Constrained Markov decision processes, Safe exploration, Proximal policy optimization, Non-convex optimization, Online mirror descent, Primal-dual method. [bibtex-entry]



3. D. Ding, X. Wei, and M. R. Jovanovic. Distributed robust statistical learning: Byzantine mirror descent. In Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, pages 1822-1827, 2019. Keyword(s): Byzantine mirror descent, Distributed optimization, Dual averaging, Robust statistical learning. [bibtex-entry]

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