| On the role of planning in model-based deep reinforcement learning | Nov 8, 2020 | Deep Reinforcement LearningModel-based Reinforcement Learning | —Unverified | 0 | 0 |
| On The Transferability of Deep-Q Networks | Oct 6, 2021 | Deep Reinforcement LearningTransfer Learning | —Unverified | 0 | 0 |
| On the Use of Reinforcement Learning for Attacking and Defending Load Frequency Control | Mar 28, 2023 | Deep Reinforcement Learning | —Unverified | 0 | 0 |
| On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer | May 10, 2022 | Deep Reinforcement LearningReinforcement Learning (RL) | —Unverified | 0 | 0 |
| On Training Flexible Robots using Deep Reinforcement Learning | Jun 29, 2019 | Deep Reinforcement LearningIndustrial Robots | —Unverified | 0 | 0 |
| Open Problems and Modern Solutions for Deep Reinforcement Learning | Feb 5, 2023 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning | Jan 12, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 | 0 |
| OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization | Jun 22, 2024 | BlockingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Optimal Attacks on Reinforcement Learning Policies | Jul 31, 2019 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach | May 2, 2020 | Deep Reinforcement LearningQ-Learning | —Unverified | 0 | 0 |
