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Publications about 'Constrained Markov decision processes'
Conference articles
  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, 2022. Note: Submitted. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Mirror descent, Function approximation. [bibtex-entry]


  2. D. Ding, K. Zhang, T. Basar, and M. R. Jovanovic. Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes. In Proceedings of the 2022 American Control Conference, Atlanta, GA, 2022. Note: To appear. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Minimax optimization. [bibtex-entry]


  3. 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]


  4. D. Ding, K. Zhang, T. Basar, and M. R. Jovanovic. Natural policy gradient primal-dual method for constrained Markov decision processes. In Proceedings of the 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020. Keyword(s): Constrained Markov decision processes, Policy gradient methods, Primal-dual algorithms, Minimax optimization. [bibtex-entry]



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Last modified: Tue May 3 09:45:45 2022
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