| Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning | Mar 15, 2018 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices | Apr 17, 2023 | CPUDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning | Feb 19, 2018 | Deep Reinforcement LearningRecommendation Systems | —Unverified | 0 | 0 |
| Reconfigurable Intelligent Surface Enabled Vehicular Communication: Joint User Scheduling and Passive Beamforming | Jan 28, 2021 | Deep Reinforcement LearningScheduling | —Unverified | 0 | 0 |
| Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning | Feb 26, 2025 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Recurrent Control Nets for Deep Reinforcement Learning | Jan 6, 2019 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Recursive Least Squares Advantage Actor-Critic Algorithms | Jan 15, 2022 | Computational Efficiencycontinuous-control | —Unverified | 0 | 0 |
| Reduce Computational Cost In Deep Reinforcement Learning Via Randomized Policy Learning | May 25, 2025 | Deep Reinforcement LearningReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning | Aug 18, 2023 | Deep Reinforcement LearningOperator learning | —Unverified | 0 | 0 |
| Reducing Action Space: Reference-Model-Assisted Deep Reinforcement Learning for Inverter-based Volt-Var Control | Oct 10, 2022 | Deep Reinforcement Learning | —Unverified | 0 | 0 |
