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Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment2023 Winter Simulation Conference conference-paper Computer Science Reinforcement Learning in Robotics
Marcel Müller, Lorena Silvana Reyes-Rubiano, Tobias Reggelin, Hartmut Zadek
2citations -
Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym2023 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
10citations -
A Comprehensive Review of Number-Theoretic Foundations of Attribute-Based Encryption Schemes: Security Models, Optimization Techniques, and Emerging Computing Applications0citations
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Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks2026 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
0citations -
A Comprehensive Review of Optimization-Driven Design of Attribute-Based Encryption Schemes: Security Models, Optimization Techniques, and Emerging Computing Applications0citations
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Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models2023 Advances in transdisciplinary engineering book-chapter Computer Science Reinforcement Learning in Robotics Open access
Akshay Paranjape, Nils Plettenberg, Markus Ohlenforst, Robert Heinrich Schmitt
2citations