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| Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning | May 29, 2022 | Continuous ControlDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning | Nov 23, 2022 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition | May 1, 2023 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Representations for Stable Off-Policy Reinforcement Learning | Jul 10, 2020 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework | Mar 28, 2022 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain | Jul 28, 2024 | Autonomous DrivingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization | May 5, 2023 | Data AugmentationDeep Reinforcement Learning | —Unverified | 0 | 0 |
| Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning | Mar 10, 2025 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning | Feb 26, 2025 | Cloud ComputingDeep Reinforcement Learning | —Unverified | 0 | 0 |
