| A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs | Jun 1, 2022 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL | Jun 6, 2022 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits | Feb 12, 2023 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments | Sep 29, 2022 | Decision Makingreinforcement-learning | —Unverified | 0 |
| An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits | Sep 5, 2019 | Decision MakingRecommendation Systems | —Unverified | 0 |
| An Anytime Algorithm for Task and Motion MDPs | Feb 16, 2018 | Decision MakingMotion Planning | —Unverified | 0 |
| Adaptive Robust Online Portfolio Selection | Jun 2, 2022 | Decision MakingSequential Decision Making | —Unverified | 0 |
| An Analysis of Frame-skipping in Reinforcement Learning | Feb 7, 2021 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits | Oct 23, 2021 | Decision MakingMulti-Armed Bandits | —Unverified | 0 |
| Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds | Mar 1, 2024 | Decision MakingMulti-Armed Bandits | —Unverified | 0 |