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Papers matching “policy learning” 211

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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
Simulation-Aided Policy Tuning for Black-Box Robot Learning
2025 IEEE Transactions on Robotics article Computer Science Machine Learning and Algorithms Open access

Alexander von Rohr, Dominik Baumann, Xiang Ji, Sebastian Trimpe

1

citations
Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment
2023 conference-paper Engineering Traffic control and management

Marcel Müller, Lorena Silvana Reyes-Rubiano, Tobias Reggelin, Hartmut Zadek

2

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
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
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Batuhan Yardim, Semih Çaycı, Matthieu Geist, Niao He

2

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
Simulation-Aided Policy Tuning for Black-Box Robot Learning
2025 RWTH Publications (RWTH Aachen) article Computer Science Reinforcement Learning in Robotics Open access

Shiming He, Alexander von Rohr, Dominik Baumann, Ji Xiang

0

citations
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
2024 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann, Hector Geffner

1

citations
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann, Héctor Geffner

0

citations
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
2023 arXiv (Cornell University) preprint Computer Science Age of Information Optimization Open access

Semih Çaycı, Atilla Eryılmaz

2

citations
End-to-end reinforcement learning of koopman model predictive control ; 1
2025 RWTH Publications (RWTH Aachen) book Physics and Astronomy Model Reduction and Neural Networks Open access

Daniel Mayfrank

0

citations
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
2025 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Martin Grohe

0

citations
Learning Hierarchical Policies by Iteratively Reducing the Width of Sketch Rules
2023 conference-paper Computer Science Reinforcement Learning in Robotics Open access

Dominik Drexler, Jendrik Seipp, Héctor Geffner

6

citations
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
2023 conference-paper Engineering Robot Manipulation and Learning

Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang

25

citations
Towards FAIR Data in Distributed Machine Learning Systems
2023 conference-paper Decision Sciences Scientific Computing and Data Management

Yongli Mou, Fengyang Guo, Wei Dong Lu, Yongzhao Li, Oya Beyan, Thomas Rose, +2 more

1

citations
GoSafe: Globally Optimal Safe Robot Learning
2021 conference-paper Computer Science Machine Learning and Algorithms Open access cited by 1 patent

Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe

19

citations
Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
2026 arXiv (Cornell University) preprint Medicine Respiratory Support and Mechanisms Open access

Hang Yu, Huidong Liu, Qingchen Zhang, William Joy, Kateryna Nikulina, Andreas Schuppert, +2 more

0

citations
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Multi-Agent Systems and Negotiation Open access

Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker

0

citations
Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop
2025 IEEE Transactions on Vehicular Technology article Engineering Real-time simulation and control systems

Mario Picerno, Lucas Koch, Kevin Badalian, Marius Wegener, Joschka Schaub, Charles Robert Koch, +1 more

4

citations
Simulation of strategic bidding for battery storage and e-mobility in local flexibility markets with multi-agent reinforcement learning
2022 IET conference proceedings. conference-paper Engineering Smart Grid Energy Management

J. Tran, L. Gajewski, P. Pfeifer, S. Krahl, A. Moser

0

citations
Reinforcement Learning-Based Control of a Hydraulic Press With Multiple Actuators
2023 conference-paper Engineering Hydraulic and Pneumatic Systems

Faried Makansi, Jingkai Huang, Katharina Schmitz

2

citations
Compensating Environmental Disturbances in Maritime Path Following Using Deep Reinforcement Learning
2026 Journal of Marine Science and Engineering article Engineering Maritime Navigation and Safety Open access

Björn Krautwig, Dominik Wans, Till Temmen, Tobias Brinkmann, Sung-Yong Lee, Daehyuk Kim, +1 more

1

citations
Recurrent Natural Policy Gradient for POMDPs
2024 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Semih Çaycı, Atilla Eryılmaz

0

citations