Cargando…
Recent Advances in Reinforcement Learning 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008, Revised and Selected Papers /
This book constitutes revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, France, during June 30 - July 3, 2008. The 21 papers presented were carefully reviewed and selected from 61 submissions. They are dedicated...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
|
| Edición: | 1st ed. 2008. |
| Colección: | Lecture Notes in Artificial Intelligence,
5323 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees
- Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
- Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
- Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
- Regularized Fitted Q-Iteration: Application to Planning
- A Near Optimal Policy for Channel Allocation in Cognitive Radio
- Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets
- Bayesian Reward Filtering
- Basis Expansion in Natural Actor Critic Methods
- Reinforcement Learning with the Use of Costly Features
- Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
- Optimistic Planning of Deterministic Systems
- Policy Iteration for Learning an Exercise Policy for American Options
- Tile Coding Based on Hyperplane Tiles
- Use of Reinforcement Learning in Two Real Applications
- Applications of Reinforcement Learning to Structured Prediction
- Policy Learning - A Unified Perspective with Applications in Robotics
- Probabilistic Inference for Fast Learning in Control
- United We Stand: Population Based Methods for Solving Unknown POMDPs
- New Error Bounds for Approximations from Projected Linear Equations
- Markov Decision Processes with Arbitrary Reward Processes.