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| Using Part-based Representations for Explainable Deep Reinforcement Learning | Aug 21, 2024 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Utilization of Deep Reinforcement Learning for saccadic-based object visual search | Oct 20, 2016 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Utilizing Skipped Frames in Action Repeats via Pseudo-Actions | May 7, 2021 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach | Aug 1, 2020 | BlockingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Dynamic Queue-Jump Lane for Emergency Vehicles under Partially Connected Settings: A Multi-Agent Deep Reinforcement Learning Approach | Mar 2, 2020 | BlockingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| V2N Service Scaling with Deep Reinforcement Learning | Jan 30, 2023 | Deep Reinforcement LearningEdge-computing | —Unverified | 0 | 0 |
| V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration | Sep 26, 2023 | Autonomous DrivingAutonomous Vehicles | —Unverified | 0 | 0 |
| VAE for Modified 1-Hot Generative Materials Modeling, A Step Towards Inverse Material Design | Dec 25, 2023 | Deep Reinforcement Learning | —Unverified | 0 | 0 |
| Value-Added Chemical Discovery Using Reinforcement Learning | Nov 10, 2019 | Computational chemistryDeep Reinforcement Learning | —Unverified | 0 | 0 |
