| A Theoretical Connection Between Statistical Physics and Reinforcement Learning | Jun 24, 2019 | Decision Makingreinforcement-learning | —Unverified | 0 |
| A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning | Jun 20, 2019 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| Macro-action Multi-time scale Dynamic Programming for Energy Management in Buildings with Phase Change Materials | Jun 11, 2019 | Decision Makingenergy management | —Unverified | 0 |
| Neural Heterogeneous Scheduler | Jun 9, 2019 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism | Jun 7, 2019 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Reinforcement Learning When All Actions are Not Always Available | Jun 5, 2019 | AllDecision Making | CodeCode Available | 0 |
| Lifelong Learning with a Changing Action Set | Jun 5, 2019 | Decision MakingLifelong learning | CodeCode Available | 0 |
| Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning | May 29, 2019 | Combinatorial OptimizationDecision Making | —Unverified | 0 |
| Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning | May 27, 2019 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 |
| Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal | May 23, 2019 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 |
