Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
Fuente:
arXiv
Saved in:
| Main Authors: | Alvo, Matias, Russo, Daniel, Kanoria, Yash |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization
by: Alvo, Matias, et al.
Published: (2023)
by: Alvo, Matias, et al.
Published: (2023)
Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and State
by: Cheng, Ziheng, et al.
Published: (2025)
by: Cheng, Ziheng, et al.
Published: (2025)
Delightful Policy Gradient
by: Osband, Ian
Published: (2026)
by: Osband, Ian
Published: (2026)
Intersectional Fairness via Mixed-Integer Optimization
by: Němeček, Jiří, et al.
Published: (2026)
by: Němeček, Jiří, et al.
Published: (2026)
Delightful Distributed Policy Gradient
by: Osband, Ian
Published: (2026)
by: Osband, Ian
Published: (2026)
Performative Policy Gradient: Optimality in Performative Reinforcement Learning
by: Basu, Debabrota, et al.
Published: (2025)
by: Basu, Debabrota, et al.
Published: (2025)
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)
Boosting Gradient Ascent for Continuous DR-submodular Maximization
by: Zhang, Qixin, et al.
Published: (2024)
by: Zhang, Qixin, et al.
Published: (2024)
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
by: Ganesh, Swetha, et al.
Published: (2024)
by: Ganesh, Swetha, et al.
Published: (2024)
How Memory in Optimization Algorithms Implicitly Modifies the Loss
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
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)
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
by: Liu, Rui, et al.
Published: (2024)
by: Liu, Rui, et al.
Published: (2024)
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)
Riemann Sum Optimization for Accurate Integrated Gradients Computation
by: Swain, Swadesh, et al.
Published: (2024)
by: Swain, Swadesh, et al.
Published: (2024)
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)
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)
A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
by: Hu, Zeou, et al.
Published: (2026)
by: Hu, Zeou, et al.
Published: (2026)
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
by: Ma, Shaocong, et al.
Published: (2025)
by: Ma, Shaocong, et al.
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)
MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models
by: Huang, Feihu, et al.
Published: (2026)
by: Huang, Feihu, et al.
Published: (2026)
Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
by: Su, Weijie
Published: (2025)
by: Su, Weijie
Published: (2025)
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
by: Pettit, Jacob F., et al.
Published: (2024)
by: Pettit, Jacob F., et al.
Published: (2024)
Weighted Low-rank Approximation via Stochastic Gradient Descent on Manifolds
by: Xu, Conglong, et al.
Published: (2025)
by: Xu, Conglong, et al.
Published: (2025)
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
Contextual Distributionally Robust Optimization with Causal and Continuous Structure: An Interpretable and Tractable Approach
by: Zhang, Fenglin, et al.
Published: (2026)
by: Zhang, Fenglin, et al.
Published: (2026)
Robust Control with Gradient Uncertainty
by: Qi, Qian
Published: (2025)
by: Qi, Qian
Published: (2025)
Gradient Descent Efficiency Index
by: Dhingra, Aviral
Published: (2024)
by: Dhingra, Aviral
Published: (2024)
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
by: Kiruluta, Andrew, et al.
Published: (2024)
by: Kiruluta, Andrew, et al.
Published: (2024)
Unbiased Gradient Low-Rank Projection
by: Pan, Rui, et al.
Published: (2025)
by: Pan, Rui, et al.
Published: (2025)
Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
Online Submodular Maximization via Online Convex Optimization
by: Salem, Tareq Si, et al.
Published: (2023)
by: Salem, Tareq Si, et al.
Published: (2023)
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)
Logistics Hub Location Optimization: A K-Means and P-Median Model Hybrid Approach Using Road Network Distances
by: Rahman, Muhammad Abdul, et al.
Published: (2023)
by: Rahman, Muhammad Abdul, et al.
Published: (2023)
Memory-Efficient LLM Pretraining via Minimalist Optimizer Design
by: Glentis, Athanasios, et al.
Published: (2025)
by: Glentis, Athanasios, et al.
Published: (2025)
SPAP: Structured Pruning via Alternating Optimization and Penalty Methods
by: Hu, Hanyu, et al.
Published: (2025)
by: Hu, Hanyu, 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)
Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent
by: Hennick, Max, et al.
Published: (2025)
by: Hennick, Max, et al.
Published: (2025)
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks
by: Gao, Yihang, et al.
Published: (2024)
by: Gao, Yihang, et al.
Published: (2024)
Similar Items
-
Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization
by: Alvo, Matias, et al.
Published: (2023) -
Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and State
by: Cheng, Ziheng, et al.
Published: (2025) -
Delightful Policy Gradient
by: Osband, Ian
Published: (2026) -
Intersectional Fairness via Mixed-Integer Optimization
by: Němeček, Jiří, et al.
Published: (2026) -
Delightful Distributed Policy Gradient
by: Osband, Ian
Published: (2026)