| Understanding and Mitigating the Limitations of Prioritized Experience Replay | Jul 19, 2020 | Autonomous Drivingcontinuous-control | CodeCode Available | 0 | 5 |
| Learning Disentangled Discrete Representations | Jul 26, 2023 | Image GenerationModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| ED2: Environment Dynamics Decomposition World Models for Continuous Control | Dec 6, 2021 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning | Dec 21, 2019 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Learning Sequential Latent Variable Models from Multimodal Time Series Data | Apr 21, 2022 | Model-based Reinforcement LearningTime Series | CodeCode Available | 0 | 5 |
| Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks | May 23, 2016 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Learning Approximate Stochastic Transition Models | Oct 26, 2017 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control | Dec 30, 2023 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Intelligent Trainer for Model-Based Reinforcement Learning | May 24, 2018 | modelModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| Imagination-Augmented Agents for Deep Reinforcement Learning | Jul 19, 2017 | Deep Reinforcement LearningModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
