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1
Theoretical Advances in Reinforcement Learning: Online Average-Reward and Offline Constrained Settings
Theoretical Advances in Reinforcement Learning: Online Average-Reward and Offline Constrained Settings
Hong, Kihyuk. | University of Michigan | 2025
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2
The Role of Lookahead in Reinforcement Learning Algorithms
The Role of Lookahead in Reinforcement Learning Algorithms
Winnicki, Anna. | University of Illinois at Urbana-Champaign | 2024
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3
Learning and Optimal Control of Dynamic Stochastic Systems: Robustness and Scalability
Learning and Optimal Control of Dynamic Stochastic Systems: Robustness and Scalability
Wang, Shengbo. | Stanford University | 2025
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4
On the Importance of Inherent Structural Properties for Learning in Markov Decision Processes
On the Importance of Inherent Structural Properties for Learning in Markov Decision Processes
Adler, Saghar. | University of Michigan | 2024
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5
Topics in Low-Rank Markov Decision Process: Applications in Policy Gradient, Model Estimation and Markov Games- [electronic resource]
Topics in Low-Rank Markov Decision Process: Applications in Policy Gradient, Model Estimation and Markov Games- [electronic resource]
Ni, Chengzhuo.Electrical and Computer Engineering. | Princeton University. | 2023
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6
Robust Markov Decision Processes With Data-Driven, Distance-Based Ambiguity Sets- [electronic resource]
Robust Markov Decision Processes With Data-Driven, Distance-Based Ambiguity Sets- [electronic resource]
Ramani, Sivaramakrishnan.Industrial and Systems En | University of Washington. | 2023
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7
Efficient Reinforcement Learning Through Uncertainties- [electronic resource]
Efficient Reinforcement Learning Through Uncertainties- [electronic resource]
Zhou, Dongruo.Computer Science 0201. | University of California, Los Angeles. | 2023
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8
Topics in Low-Rank Markov Decision Process: Applications in Policy Gradient, Model Estimation and Markov Games- [electronic resource]
Topics in Low-Rank Markov Decision Process: Applications in Policy Gradient, Model Estimation and Markov Games- [electronic resource]
Ni, Chengzhuo.Electrical and Computer Engineering. | Princeton University. | 2023
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9
Robust Markov Decision Processes With Data-Driven, Distance-Based Ambiguity Sets- [electronic resource]
Robust Markov Decision Processes With Data-Driven, Distance-Based Ambiguity Sets- [electronic resource]
Ramani, Sivaramakrishnan.Industrial and Systems En | University of Washington. | 2023
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10
Efficient Reinforcement Learning Through Uncertainties- [electronic resource]
Efficient Reinforcement Learning Through Uncertainties- [electronic resource]
Zhou, Dongruo.Computer Science 0201. | University of California, Los Angeles. | 2023
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