Saved in:
| Main Author: | Qian, Tianhao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.14345 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications
by: Chen, Zequn, et al.
Published: (2026)
by: Chen, Zequn, et al.
Published: (2026)
Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand
by: Gundem, Korel, et al.
Published: (2025)
by: Gundem, Korel, et al.
Published: (2025)
Auto-exploration for online reinforcement learning
by: Ju, Caleb, et al.
Published: (2025)
by: Ju, Caleb, et al.
Published: (2025)
Progressive Power Homotopy for Non-convex Optimization
by: Xu, Chen
Published: (2026)
by: Xu, Chen
Published: (2026)
SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks
by: Chun, Zheng
Published: (2025)
by: Chun, Zheng
Published: (2025)
An Analysis of Optimizer Choice on Energy Efficiency and Performance in Neural Network Training
by: Almog, Tom
Published: (2025)
by: Almog, Tom
Published: (2025)
Policy Optimization over General State and Action Spaces
by: Ju, Caleb, et al.
Published: (2022)
by: Ju, Caleb, et al.
Published: (2022)
A Stability Principle for Learning under Non-Stationarity
by: Huang, Chengpiao, et al.
Published: (2023)
by: Huang, Chengpiao, et al.
Published: (2023)
Active perception and disentangled representations allow continual, episodic zero and few-shot learning
by: Rawlinson, David, et al.
Published: (2026)
by: Rawlinson, David, et al.
Published: (2026)
Dynamic resource matching in manufacturing using deep reinforcement learning
by: Panda, Saunak Kumar, et al.
Published: (2026)
by: Panda, Saunak Kumar, et al.
Published: (2026)
Multi-level meta-reinforcement learning with skill-based curriculum
by: Yang, Sichen, et al.
Published: (2026)
by: Yang, Sichen, et al.
Published: (2026)
Understanding Reinforcement Learning for Model Training, and future directions with GRAPE
by: Patel, Rohit
Published: (2025)
by: Patel, Rohit
Published: (2025)
NOVAK: Unified adaptive optimizer for deep neural networks
by: Kavun, Sergii
Published: (2026)
by: Kavun, Sergii
Published: (2026)
Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
by: Xu, Ruoran, et al.
Published: (2026)
by: Xu, Ruoran, et al.
Published: (2026)
Communicating Plans, Not Percepts: Scalable Multi-Agent Coordination with Embodied World Models
by: Hill, Brennen A., et al.
Published: (2025)
by: Hill, Brennen A., et al.
Published: (2025)
Power Homotopy for Zeroth-Order Non-Convex Optimizations
by: Xu, Chen
Published: (2025)
by: Xu, Chen
Published: (2025)
Global Optimization with A Power-Transformed Objective and Gaussian Smoothing
by: Xu, Chen
Published: (2024)
by: Xu, Chen
Published: (2024)
Identifying Critical Pathways in Coronary Heart Disease via Fuzzy Subgraph Connectivity
by: Ali, Shanookha, et al.
Published: (2025)
by: Ali, Shanookha, et al.
Published: (2025)
Co-Evolving Complexity: An Adversarial Framework for Automatic MARL Curricula
by: Hill, Brennen
Published: (2025)
by: Hill, Brennen
Published: (2025)
Exact Solution to Data-Driven Inverse Optimization of MILPs in Finite Time via Gradient-Based Methods
by: Kitaoka, Akira
Published: (2024)
by: Kitaoka, Akira
Published: (2024)
Thompson Sampling for Infinite-Horizon Discounted Decision Processes
by: Adelman, Daniel, et al.
Published: (2024)
by: Adelman, Daniel, et al.
Published: (2024)
Monotone and Conservative Policy Iteration Beyond the Tabular Case
by: Eshwar, S. R., et al.
Published: (2025)
by: Eshwar, S. R., et al.
Published: (2025)
Actor-Curator: Co-adaptive Curriculum Learning via Policy-Improvement Bandits for RL Post-Training
by: Gu, Zhengyao, et al.
Published: (2026)
by: Gu, Zhengyao, et al.
Published: (2026)
Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning
by: Hu, Yuelin, et al.
Published: (2026)
by: Hu, Yuelin, et al.
Published: (2026)
Wake-Informed 3D Path Planning for Autonomous Underwater Vehicles Using A* and Neural Network Approximations
by: Cooper-Baldock, Zachary, et al.
Published: (2025)
by: Cooper-Baldock, Zachary, et al.
Published: (2025)
On Policy Evaluation Algorithms in Distributional Reinforcement Learning
by: Gerstenberg, Julian, et al.
Published: (2024)
by: Gerstenberg, Julian, et al.
Published: (2024)
Strongly-polynomial time and validation analysis of policy gradient methods
by: Ju, Caleb, et al.
Published: (2024)
by: Ju, Caleb, et al.
Published: (2024)
Classification by Separating Hypersurfaces: An Entropic Approach
by: Arratia, Argimiro, et al.
Published: (2025)
by: Arratia, Argimiro, et al.
Published: (2025)
No-Knowledge Alarms for Misaligned LLMs-as-Judges
by: Corrada-Emmanuel, Andrés
Published: (2025)
by: Corrada-Emmanuel, Andrés
Published: (2025)
Refutation of Spectral Graph Theory Conjectures with Search Algorithms)
by: Roucairol, Milo, et al.
Published: (2024)
by: Roucairol, Milo, et al.
Published: (2024)
Distributed Computing for Huge-Scale Aggregative Convex Programming
by: Tao, Luoyi
Published: (2026)
by: Tao, Luoyi
Published: (2026)
Deep neural networks can provably solve Bellman equations for Markov decision processes without the curse of dimensionality
by: Jentzen, Arnulf, et al.
Published: (2025)
by: Jentzen, Arnulf, et al.
Published: (2025)
Vanishing L2 regularization for the softmax Multi Armed Bandit
by: Anita, Stefana-Lucia, et al.
Published: (2026)
by: Anita, Stefana-Lucia, et al.
Published: (2026)
Edge-Wise Graph-Instructed Neural Networks
by: Della Santa, Francesco, et al.
Published: (2024)
by: Della Santa, Francesco, et al.
Published: (2024)
Deep Learning without Global Optimization by Random Fourier Neural Networks
by: Davis, Owen, et al.
Published: (2024)
by: Davis, Owen, et al.
Published: (2024)
Convex Regularization and Convergence of Policy Gradient Flows under Safety Constraints
by: Malo, Pekka, et al.
Published: (2024)
by: Malo, Pekka, et al.
Published: (2024)
A Learning Method with Gap-Aware Generation for Heterogeneous DAG Scheduling
by: Zhou, Ruisong, et al.
Published: (2026)
by: Zhou, Ruisong, et al.
Published: (2026)
Convergence Conditions for Stochastic Line Search Based Optimization of Over-parametrized Models
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
by: Xu, Zexing, et al.
Published: (2024)
by: Xu, Zexing, et al.
Published: (2024)
Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
by: Osman, Asim, et al.
Published: (2026)
by: Osman, Asim, et al.
Published: (2026)
Similar Items
-
Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications
by: Chen, Zequn, et al.
Published: (2026) -
Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand
by: Gundem, Korel, et al.
Published: (2025) -
Auto-exploration for online reinforcement learning
by: Ju, Caleb, et al.
Published: (2025) -
Progressive Power Homotopy for Non-convex Optimization
by: Xu, Chen
Published: (2026) -
SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks
by: Chun, Zheng
Published: (2025)