SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
Fuente:
arXiv
Saved in:
| Main Authors: | Xiong, Xuyuan, Chumpitaz-Flores, Pedro, Hua, Kaixun, Hua, Cheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees
by: Heredia, Cristobal, et al.
Published: (2025)
by: Heredia, Cristobal, et al.
Published: (2025)
A Scalable Global Optimization Algorithm For Constrained Clustering
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
Optimal Decision Tree Policies for Markov Decision Processes
by: Vos, Daniël, et al.
Published: (2023)
by: Vos, Daniël, et al.
Published: (2023)
QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
Policy Gradient for Robust Markov Decision Processes
by: Wang, Qiuhao, et al.
Published: (2024)
by: Wang, Qiuhao, et al.
Published: (2024)
PASS: Certified Subset Repair for Classical and Quantum Pairwise Constrained Clustering
by: Chumpitaz-Flores, Pedro, et al.
Published: (2026)
by: Chumpitaz-Flores, Pedro, et al.
Published: (2026)
Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes
by: Morimura, Tetsuro, et al.
Published: (2022)
by: Morimura, Tetsuro, et al.
Published: (2022)
qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
by: Bennett, Andrew, et al.
Published: (2024)
by: Bennett, Andrew, et al.
Published: (2024)
Conformal Off-Policy Evaluation in Markov Decision Processes
by: Foffano, Daniele, et al.
Published: (2023)
by: Foffano, Daniele, et al.
Published: (2023)
Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation
by: Gu, Jingwen, et al.
Published: (2025)
by: Gu, Jingwen, et al.
Published: (2025)
Markov Decision Processes under External Temporal Processes
by: Ayyagari, Ranga Shaarad, et al.
Published: (2023)
by: Ayyagari, Ranga Shaarad, et al.
Published: (2023)
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
by: Bai, Qinbo, et al.
Published: (2023)
by: Bai, Qinbo, et al.
Published: (2023)
Improved Monte Carlo Planning via Causal Disentanglement for Structurally-Decomposed Markov Decision Processes
by: Liu, Larkin, et al.
Published: (2024)
by: Liu, Larkin, et al.
Published: (2024)
An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes
by: Angelotti, Giorgio, et al.
Published: (2021)
by: Angelotti, Giorgio, et al.
Published: (2021)
On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
by: Murthy, Yashaswini, et al.
Published: (2023)
by: Murthy, Yashaswini, et al.
Published: (2023)
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)
by: Luo, Baiting, et al.
Published: (2024)
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
by: Meggendorfer, Tobias, et al.
Published: (2024)
by: Meggendorfer, Tobias, et al.
Published: (2024)
Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
by: Infante, Guillermo, et al.
Published: (2024)
by: Infante, Guillermo, et al.
Published: (2024)
Decision Flow Policy Optimization
by: Hu, Jifeng, et al.
Published: (2025)
by: Hu, Jifeng, et al.
Published: (2025)
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
by: Bossens, David M.
Published: (2023)
by: Bossens, David M.
Published: (2023)
Federated Offline Policy Optimization with Dual Regularization
by: Yue, Sheng, et al.
Published: (2024)
by: Yue, Sheng, et al.
Published: (2024)
Linear Mixture Distributionally Robust Markov Decision Processes
by: Liu, Zhishuai, et al.
Published: (2025)
by: Liu, Zhishuai, et al.
Published: (2025)
Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning
by: Sanokowski, Sebastian, et al.
Published: (2025)
by: Sanokowski, Sebastian, et al.
Published: (2025)
Homomorphic Mappings for Value-Preserving State Aggregation in Markov Decision Processes
by: Zhao, Shuo, et al.
Published: (2025)
by: Zhao, Shuo, et al.
Published: (2025)
A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
by: Ringstrom, Thomas J., et al.
Published: (2025)
by: Ringstrom, Thomas J., et al.
Published: (2025)
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
by: Kumar, Navdeep, et al.
Published: (2025)
by: Kumar, Navdeep, et al.
Published: (2025)
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
by: Moon, Sang Bin, et al.
Published: (2024)
by: Moon, Sang Bin, et al.
Published: (2024)
OCMDP: Observation-Constrained Markov Decision Process
by: Wang, Taiyi, et al.
Published: (2024)
by: Wang, Taiyi, et al.
Published: (2024)
On the Convergence of Experience Replay in Policy Optimization: Characterizing Bias, Variance, and Finite-Time Convergence
by: Zheng, Hua, et al.
Published: (2021)
by: Zheng, Hua, et al.
Published: (2021)
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes
by: Mondal, Washim Uddin, et al.
Published: (2023)
by: Mondal, Washim Uddin, et al.
Published: (2023)
SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks
by: Cheng, Sikai, et al.
Published: (2025)
by: Cheng, Sikai, et al.
Published: (2025)
Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
by: Vora, Kevin, et al.
Published: (2025)
by: Vora, Kevin, et al.
Published: (2025)
MATE: Solving Contextual Markov Decision Processes with Memory of Accumulated Transition Embeddings
by: Hwang, Himchan, et al.
Published: (2026)
by: Hwang, Himchan, et al.
Published: (2026)
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
by: Ireland, David, et al.
Published: (2024)
by: Ireland, David, et al.
Published: (2024)
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
by: Infante, Guillermo, et al.
Published: (2021)
by: Infante, Guillermo, et al.
Published: (2021)
1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization
by: Azeem, Muqsit, et al.
Published: (2024)
by: Azeem, Muqsit, et al.
Published: (2024)
Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
by: Amiri, Mohsen, et al.
Published: (2025)
by: Amiri, Mohsen, et al.
Published: (2025)
Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective
by: Zimmer, Matthieu, et al.
Published: (2025)
by: Zimmer, Matthieu, et al.
Published: (2025)
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning
by: Banse, Adrien, et al.
Published: (2024)
by: Banse, Adrien, et al.
Published: (2024)
Similar Items
-
RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees
by: Heredia, Cristobal, et al.
Published: (2025) -
A Scalable Global Optimization Algorithm For Constrained Clustering
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025) -
Optimal Decision Tree Policies for Markov Decision Processes
by: Vos, Daniël, et al.
Published: (2023) -
QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025) -
Policy Gradient for Robust Markov Decision Processes
by: Wang, Qiuhao, et al.
Published: (2024)