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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...
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Corporate Authors: | , |
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Other Authors: | |
Format: | Conference Proceeding eBook |
Language: | English |
Published: |
Berlin ; New York :
Springer,
2008.
Berlin ; New York : 2008. |
Series: | Lecture notes in computer science ;
5323. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. Artificial intelligence. |
Physical Description: |
1 online resource (xii, 281 pages) : illustrations. |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
Contents:
- 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.