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Publications about 'Primal-dual policy optimization'
Conference articles
  1. D. Ding, X. Wei, Z. Yang, Z. Wang, and M. R. Jovanovic. Provably efficient generalized Lagrangian policy optimization for safe multi-agent reinforcement learning. In 39th International Conference on Machine Learning, Baltimore, MD, 2022. Note: Submitted. Keyword(s): Multi-agent reinforcement learning, Constrained Markov games, Primal-dual policy optimization, Method of Lagrange multipliers, Minimax optimization. [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]

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