Reinforcement learning 1 & Search
Session details
Reinforcement learning 1 & Search
Tuesday 8 September
16:00 - 18:05
Location: Room Preseren - Hotel Park
| 16:00 | Compositional Models for Reinforcement Learning (Nicholas K. Jong, Peter Stone) |
| 16:25 | Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks (Eva Besada-Portas, Sergey M. Plis, Jesus M. de la Cruz, Terran Lane) |
| 16:50 | A Generalization of Forward-backward Algorithm (Ai Azuma, Yuji Matsumoto) |
| 17:15 | Efficient Multi-Start Strategies for Local Search Algorithms (Levente Kocsis, Andras Gyorgy) |
| 17:40 | Hybrid Least-Squares Algorithms for Approximate Policy Evaluation (Jeffrey Johns, Marek Petrik, Sridhar Mahadevan) |