| Bandits in Matching Markets: Ideas and Proposals for Peer Lending | Oct 30, 2020 | Decision MakingFairness | —Unverified | 0 |
| Towards Safe Policy Improvement for Non-Stationary MDPs | Oct 23, 2020 | Decision Makingreinforcement-learning | CodeCode Available | 0 |
| What are the Statistical Limits of Offline RL with Linear Function Approximation? | Oct 22, 2020 | Decision MakingOffline RL | —Unverified | 0 |
| Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking | Oct 21, 2020 | Decision MakingFraud Detection | —Unverified | 0 |
| DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees | Oct 19, 2020 | AttributeDecision Making | —Unverified | 0 |
| Learning to Generalize for Sequential Decision Making | Oct 5, 2020 | Decision MakingImitation Learning | CodeCode Available | 0 |
| A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games | Oct 4, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment | Oct 3, 2020 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon | Sep 28, 2020 | Decision MakingMulti-Armed Bandits | —Unverified | 0 |
| A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints | Sep 23, 2020 | Decision MakingSequential Decision Making | —Unverified | 0 |
