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| Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities | May 27, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar | May 24, 2019 | AutoMLBayesian Optimization | —Unverified | 0 |
| Deep Knowledge Based Agent: Learning to do tasks by self-thinking about imaginary worlds | May 16, 2019 | Knowledge Base ConstructionMeta-Learning | —Unverified | 0 |
| Deep Residual Reinforcement Learning | May 3, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Modeling the Long Term Future in Model-Based Reinforcement Learning | May 1, 2019 | Imitation LearningModel-based Reinforcement Learning | —Unverified | 0 |
| Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning | Apr 23, 2019 | Autonomous DrivingModel-based Reinforcement Learning | CodeCode Available | 0 |
| Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version | Apr 22, 2019 | Model-based Reinforcement LearningReinforcement Learning | —Unverified | 0 |
| Curious iLQR: Resolving Uncertainty in Model-based RL | Apr 15, 2019 | modelModel-based Reinforcement Learning | —Unverified | 0 |
| Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks | Apr 4, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
