| A Short Survey On Memory Based Reinforcement Learning | Apr 14, 2019 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL) | Apr 12, 2019 | Decision MakingPolicy Gradient Methods | —Unverified | 0 |
| Quizbowl: The Case for Incremental Question Answering | Apr 9, 2019 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Meta-Learning surrogate models for sequential decision making | Mar 28, 2019 | Bayesian OptimisationDecision Making | —Unverified | 0 |
| Automating Predictive Modeling Process using Reinforcement Learning | Mar 2, 2019 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Design of intentional backdoors in sequential models | Feb 26, 2019 | Decision MakingReinforcement Learning | —Unverified | 0 |
| Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets | Feb 26, 2019 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Scalable Thompson Sampling via Optimal Transport | Feb 19, 2019 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Network Offloading Policies for Cloud Robotics: a Learning-based Approach | Feb 15, 2019 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Adaptive Sequence Submodularity | Feb 15, 2019 | Decision MakingLink Prediction | CodeCode Available | 0 |
