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| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach | Nov 11, 2022 | Deep Reinforcement LearningMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
| CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving | Feb 17, 2022 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning | Apr 27, 2021 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| Training a Resilient Q-Network against Observational Interference | Feb 18, 2021 | Causal InferenceDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| The Animal-AI Environment: A Virtual Laboratory For Comparative Cognition and Artificial Intelligence Research | Dec 18, 2023 | Deep Reinforcement Learning | CodeCode Available | 1 | 5 |
| A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving | Apr 14, 2023 | Autonomous DrivingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| CDT: Cascading Decision Trees for Explainable Reinforcement Learning | Nov 15, 2020 | Deep Reinforcement LearningExplainable Models | CodeCode Available | 1 | 5 |
| DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning | May 26, 2022 | Deep Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
