| Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction | Oct 14, 2020 | Motion Planningreinforcement-learning | CodeCode Available | 0 |
| Landmark Guided Probabilistic Roadmap Queries | Apr 6, 2017 | Motion Planning | CodeCode Available | 0 |
| Safe Reinforcement Learning Using Black-Box Reachability Analysis | Apr 15, 2022 | Motion Planningreinforcement-learning | CodeCode Available | 0 |
| Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning | Sep 16, 2019 | Motion Planningreinforcement-learning | CodeCode Available | 0 |
| Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree | Sep 11, 2019 | Motion Planning | CodeCode Available | 0 |
| Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity | May 17, 2021 | Autonomous DrivingClustering | CodeCode Available | 0 |
| A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field | Sep 19, 2023 | Decision MakingMotion Planning | CodeCode Available | 0 |
| Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning | May 4, 2018 | Collision AvoidanceDecision Making | CodeCode Available | 0 |
| Soft Actor-Critic-based Control Barrier Adaptation for Robust Autonomous Navigation in Unknown Environments | Mar 11, 2025 | Autonomous NavigationMotion Planning | CodeCode Available | 0 |
| Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic | Feb 24, 2021 | Deep Reinforcement LearningMotion Planning | CodeCode Available | 0 |
