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Papers matching “policy optimization” 306

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Amortized Molecular Optimization via Group Relative Policy Optimization
2026 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Muhammad bin Javaid, Hasham Hussain, Ashima Khanna, Berke Kisin, Jonathan Pirnay, Alexander Mitsos, +2 more

0

citations
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient
2021 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu

145

citations
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu

4

citations
Design and optimization of renewable energy carrier supply chains: global logistics, energy storage, and policy frameworks
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Integrated Energy Systems Optimization Open access

Mohammad Zardoshti Zadeh Yazdi

0

citations
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
Efficiently Escaping Saddle Points for Policy Optimization
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser

0

citations
Token-Level Credit Assignment Optimization for Generative Document Retrieval
2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Xinpeng Zhao, Yang Liu, Ran Chen, Xinyu Ma, Daiting Shi, Pengjie Ren, +3 more

0

citations
Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym
2023 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud

10

citations
Local Preferential Bayesian Optimization
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Miriam Kober, Paul Brunzema, David Stenger, Sebastian Trimpe

0

citations
Learning General Policies with Policy Gradient Methods
2023 conference-paper Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

10

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
A Comprehensive Review of Number-Theoretic Foundations of Attribute-Based Encryption Schemes: Security Models, Optimization Techniques, and Emerging Computing Applications
2025 International Journal on Advanced Computer Theory and Engineering article Computer Science Cryptography and Data Security Open access

A. G. Lewis, B. Horváth, R. Costa

0

citations
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
2026 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova

0

citations
The application of machine learning-based energy management strategy in a multi-mode plug-in hybrid electric vehicle, part II: Deep deterministic policy gradient algorithm design for electric mode
2023 Energy article Engineering Electric and Hybrid Vehicle Technologies Open access

Jiageng Ruan, Changcheng Wu, Zhaowen Liang, Kai Liu, Bin Li, Weihan Li, +1 more

56

citations
Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
2024 SIAM Journal on Optimization article Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Niao He, R. Srikant

10

citations
Prompt replay: speeding up grpo with on-policy reuse of high-signal prompts
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrei Baroian, Rutger Berger

0

citations
Two-Stage Coarse-to-Fine AutoRL for DDPG Hyperparameter Optimization
2026 RWTH Publications (RWTH Aachen) article Computer Science Reinforcement Learning in Robotics Open access

Alexander Winkler

0

citations
Two-Stage Coarse-to-Fine AutoRL for DDPG Hyperparameter Optimization
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Reinforcement Learning in Robotics Open access

Alexander Winkler

0

citations
Adaptive Robust Optimization Approach for Energy System Optimization Models
2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) conference-paper Engineering Integrated Energy Systems Optimization Open access

Lina Fischer, Lucas Achilles Kerber, Albert Moser

1

citations
Managing Conflicting Interests in Subsidy Design: A Bi-Level Optimization Approach for Heating Technology Subsidies
2025 SSRN Electronic Journal preprint Engineering Integrated Energy Systems Optimization Open access

Sebastian Lubjuhn, Sandra Venghaus

0

citations
MultiOptForest: An interactive multi-objective optimization tool for forest planning and scenario analysis
2024 Open Research Europe article Environmental Science Forest Management and Policy Open access

Kyle Eyvindson, Daniel Burgas, Clara Antón‐Fernández, Jussi Hakanen, Michael Emmerich, Julian Klein, +5 more

3

citations
A Comprehensive Review of Optimization-Driven Design of Attribute-Based Encryption Schemes: Security Models, Optimization Techniques, and Emerging Computing Applications
2025 International Journal on Advanced Computer Theory and Engineering article Computer Science Cryptography and Data Security Open access

Emily L. Thompson, Karl Schneider, Alexei Petrov

0

citations
Learning to select the recombination operator for derivative-free optimization
2024 Science China Mathematics article Computer Science Metaheuristic Optimization Algorithms Research Open access

Haotian Zhang, Jianyong Sun, Thomas Bäck, Zongben Xu

6

citations
Developing a new national MDMA policy: Results of a multi-decision multi-criterion decision analysis
2021 Journal of Psychopharmacology article Psychology Psychedelics and Drug Studies Open access

Jan van Amsterdam, Gjalt-Jorn Peters, Ed J. M. Pennings, Tom Blickman, Kaj Hollemans, Joost J. Breeksema, +9 more

6

citations