Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and State
Fuente:
arXiv
Saved in:
| Main Authors: | Cheng, Ziheng, Guo, Xin, Zhang, Yufei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Performative Policy Gradient: Optimality in Performative Reinforcement Learning
by: Basu, Debabrota, et al.
Published: (2025)
by: Basu, Debabrota, et al.
Published: (2025)
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
by: Xiao, Minheng, et al.
Published: (2024)
by: Xiao, Minheng, et al.
Published: (2024)
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
by: Alvo, Matias, et al.
Published: (2026)
by: Alvo, Matias, et al.
Published: (2026)
Delightful Policy Gradient
by: Osband, Ian
Published: (2026)
by: Osband, Ian
Published: (2026)
Delightful Distributed Policy Gradient
by: Osband, Ian
Published: (2026)
by: Osband, Ian
Published: (2026)
Rod Flow: A Continuous-Time Model for Gradient Descent at the Edge of Stability
by: Regis, Eric, et al.
Published: (2026)
by: Regis, Eric, et al.
Published: (2026)
Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems
by: Huang, Yilie, et al.
Published: (2024)
by: Huang, Yilie, et al.
Published: (2024)
R2L: Reliable Reinforcement Learning: Guaranteed Return & Reliable Policies in Reinforcement Learning
by: Farhi, Nadir
Published: (2025)
by: Farhi, Nadir
Published: (2025)
Boosting Gradient Ascent for Continuous DR-submodular Maximization
by: Zhang, Qixin, et al.
Published: (2024)
by: Zhang, Qixin, et al.
Published: (2024)
Kinematic Tokenization: Optimization-Based Continuous-Time Tokens for Learnable Decision Policies in Noisy Time Series
by: Kearney, Griffin
Published: (2026)
by: Kearney, Griffin
Published: (2026)
Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems
by: Huang, Yilie, et al.
Published: (2025)
by: Huang, Yilie, et al.
Published: (2025)
Policy Transfer for Continuous-Time Reinforcement Learning: A (Rough) Differential Equation Approach
by: Guo, Xin, et al.
Published: (2025)
by: Guo, Xin, et al.
Published: (2025)
Continuous-Time Reinforcement Learning for Asset-Liability Management
by: Huang, Yilie
Published: (2025)
by: Huang, Yilie
Published: (2025)
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
by: Zhao, Hanyang, et al.
Published: (2025)
by: Zhao, Hanyang, et al.
Published: (2025)
Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient
by: Zhang, Xiangyuan, et al.
Published: (2023)
by: Zhang, Xiangyuan, et al.
Published: (2023)
Decoupled Continuous-Time Reinforcement Learning via Hamiltonian Flow
by: Nguyen, Minh
Published: (2026)
by: Nguyen, Minh
Published: (2026)
Faster Reinforcement Learning by Freezing Slow States
by: Wang, Yijia, et al.
Published: (2023)
by: Wang, Yijia, et al.
Published: (2023)
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
by: Ganesh, Swetha, et al.
Published: (2024)
by: Ganesh, Swetha, et al.
Published: (2024)
CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound
by: Anand, Akhil S, et al.
Published: (2025)
by: Anand, Akhil S, et al.
Published: (2025)
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
by: Liu, Rui, et al.
Published: (2024)
by: Liu, Rui, et al.
Published: (2024)
Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
by: Stranieri, Francesco, et al.
Published: (2025)
by: Stranieri, Francesco, et al.
Published: (2025)
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
by: Rozada, Sergio, et al.
Published: (2024)
by: Rozada, Sergio, et al.
Published: (2024)
Finite-Time Analysis of Gradient Descent for Shallow Transformers
by: Arda, Enes, et al.
Published: (2026)
by: Arda, Enes, et al.
Published: (2026)
Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
by: Ibrahim, Sinan, et al.
Published: (2026)
by: Ibrahim, Sinan, et al.
Published: (2026)
Learning Branching Policies for MILPs with Proximal Policy Optimization
by: Mhamed, Abdelouahed Ben, et al.
Published: (2025)
by: Mhamed, Abdelouahed Ben, et al.
Published: (2025)
Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning
by: Jia, Yanwei, et al.
Published: (2025)
by: Jia, Yanwei, et al.
Published: (2025)
Unbiased Gradient Low-Rank Projection
by: Pan, Rui, et al.
Published: (2025)
by: Pan, Rui, et al.
Published: (2025)
On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning
by: Raghuvanshi, Abhinav, et al.
Published: (2026)
by: Raghuvanshi, Abhinav, et al.
Published: (2026)
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks
by: Dereventsov, Anton, et al.
Published: (2022)
by: Dereventsov, Anton, et al.
Published: (2022)
Agentic Transformers Provably Learn to Search via Reinforcement Learning
by: Yang, Tong, et al.
Published: (2026)
by: Yang, Tong, et al.
Published: (2026)
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
by: Jiang, Jinyang, et al.
Published: (2025)
by: Jiang, Jinyang, et al.
Published: (2025)
Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
by: Su, Weijie
Published: (2025)
by: Su, Weijie
Published: (2025)
Contextual Bilevel Reinforcement Learning for Incentive Alignment
by: Thoma, Vinzenz, et al.
Published: (2024)
by: Thoma, Vinzenz, et al.
Published: (2024)
Deep Reinforcement Learning for Traveling Purchaser Problems
by: Yuan, Haofeng, et al.
Published: (2024)
by: Yuan, Haofeng, et al.
Published: (2024)
Adaptive Primal-Dual Method for Safe Reinforcement Learning
by: Chen, Weiqin, et al.
Published: (2024)
by: Chen, Weiqin, et al.
Published: (2024)
Reinforcement Learning for Multi-Truck Vehicle Routing Problems
by: Levin, Joshua, et al.
Published: (2022)
by: Levin, Joshua, et al.
Published: (2022)
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
by: Adde, Nihal Acharya, et al.
Published: (2024)
by: Adde, Nihal Acharya, et al.
Published: (2024)
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
by: Cui, Mingxuan, et al.
Published: (2025)
by: Cui, Mingxuan, et al.
Published: (2025)
Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
by: Liu, Xin, et al.
Published: (2022)
by: Liu, Xin, et al.
Published: (2022)
Robust Control with Gradient Uncertainty
by: Qi, Qian
Published: (2025)
by: Qi, Qian
Published: (2025)
Similar Items
-
Performative Policy Gradient: Optimality in Performative Reinforcement Learning
by: Basu, Debabrota, et al.
Published: (2025) -
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
by: Xiao, Minheng, et al.
Published: (2024) -
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
by: Alvo, Matias, et al.
Published: (2026) -
Delightful Policy Gradient
by: Osband, Ian
Published: (2026) -
Delightful Distributed Policy Gradient
by: Osband, Ian
Published: (2026)