Back to MJ's Publications
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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 Proceedings of 5th Annual Conference on Learning for Dynamics and Control,
volume 211 of Proceedings of Machine Learning Research,
Philadelphia, PA,
pages 315-332,
2023.
Keyword(s): Constrained Markov games,
Method of Lagrange multipliers,
Minimax optimization,
Multi-agent reinforcement learning,
Primal-dual policy optimization.
[bibtex-entry]
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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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D. Ding,
X. Wei,
Z. Yang,
Z. Wang,
and M. R. Jovanovic.
Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual method.
In Optimization Foundations for Reinforcement Learning Workshop, 33rd Conference on Neural Information Processing Systems,
Vancouver, Canada,
2019.
Keyword(s): Convex optimization,
Distributed temporal-difference learning,
Multi-agent systems,
Primal-dual algorithms,
Reinforcement learning,
Stochastic optimization.
[bibtex-entry]
Back to MJ's Publications
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